1.
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図書
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Ernest W. Adams
出版情報: |
Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1975 xiii, 155 p. ; 23 cm |
シリーズ名: |
Synthese library ; v. 86 |
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2.
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図書
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A.J. Ayer
出版情報: |
[London] : Macmillan, c1972 x, 144 p. ; 22 cm |
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3.
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図書
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Siegmund Brandt
出版情報: |
Amsterdam : North-Holland Pub. Co. , New York : American Elsevier Pub. Co., 1970 xii, 322 p ; 23 cm |
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4.
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図書
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Patrick Billingsley
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5.
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図書
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Lionel Weiss, Jacob Wolfowitz
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6.
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図書
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Arnold O. Allen
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7.
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図書
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Bruno de Finetti ; translated by Antonio Machí and Adrian Smith
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8.
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図書
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Narayan C. Giri
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9.
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図書
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Narayan C. Giri
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10.
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図書
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Siegmund Brandt
出版情報: |
Amsterdam : North-Holland Pub. Co. , New York : American Elsevier Pub. Co., 1976, c1970 xviii, 414 p. ; 23 cm |
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11.
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図書
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Rudolf Carnap and Richard C. Jeffrey, editors
出版情報: |
Berkeley : University of California Press, 1971-80 2 v ; 24 cm |
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12.
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図書
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[by] Robert B. Ash
出版情報: |
New York : Wiley, [1970] ix, 337 p. ; 23 cm |
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13.
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図書
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[by] A.W.F. Edwards
出版情報: |
Cambridge [England] : Cambridge University Press, 1972 xv, 235 p. ; 23 cm |
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14.
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図書
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Tatsuo Kawata
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15.
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図書
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Glenn Shafer
出版情報: |
Princeton, N.J. : Princeton University Press, c1976 xiii, 297 p. ; 24 cm |
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16.
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図書
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[by] L. Daniel Massey
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17.
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図書
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Rui Zong Yeh
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18.
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図書
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[by] Sheldon M. Ross
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19.
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図書
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Ian F. Blake
出版情報: |
New York : Wiley, 1979 528 p. ; 24 cm |
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20.
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図書
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Sheldon Ross
出版情報: |
New York : Macmillan , London : Collier Macmillan, c1976 x, 305 p. ; 24 cm |
子書誌情報: |
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目次情報:
続きを見る
Preface |
Combinatorial Analysis / 1: |
Introduction / 1.1: |
The Basic Principle of Counting / 1.2: |
Permutations / 1.3: |
Combinations / 1.4: |
Multinomial Coefficients / 1.5: |
The Number of Integer Solutions of Equations / 1.6: |
Summary |
Problems |
Theoretical Exercises |
Self-Test Problems and Exercises |
Axioms of Probability / 2: |
Sample Space and Events / 2.1: |
Some Simple Propositions / 2.3: |
Sample Spaces Having Equally Likely Outcomes / 2.5: |
Probability As a Continuous Set Function / 2.6: |
Probability As a Measure of Belief / 2.7: |
Conditional Probability and Independence / 3: |
Conditional Probabilities / 3.1: |
Bayes' Formula / 3.3: |
Independent Events / 3.4: |
P(-[middle dot]F) is a Probability / 3.5: |
Random Variables / 4: |
Discrete Random Variables / 4.1: |
Expected Value / 4.3: |
Expectatio of a Function of a Random Variable / 4.4: |
Variance / 4.5: |
The Bernoulli and Binomial Random Variables / 4.6: |
Properties of Binomial Random Variables / 4.6.1: |
Computing the Binomial Distribution Function / 4.6.2: |
The Poisson Random Variable / 4.7: |
Computing the Poisson Distribution Function / 4.7.1: |
Other Discrete Probability Distribution / 4.8: |
The Geometric Random Variable / 4.8.1: |
The Negative Binomial Random Variable / 4.8.2: |
The Hypergeometric Random Variable / 4.8.3: |
The Zeta (or Zipf) distribution / 4.8.4: |
Properties of the Cumulative Distribution Function / 4.9: |
Continuous Random Variables / 5: |
Expectation and Variance of Continuous Random Variables / 5.1: |
The Uniform Random Variable / 5.3: |
Normal Random Variables / 5.4: |
The Normal Approximation to the Binomial Distribution / 5.4.1: |
Exponential Random Variables / 5.5: |
Hazard Rate Functions / 5.5.1: |
Other Continuous Distributions / 5.6: |
The Gamma Distribution / 5.6.1: |
The Weibull Distribution / 5.6.2: |
The Cauchy Distribution / 5.6.3: |
The Beta Distribution / 5.6.4: |
The Distribution of a Function of a Random Variable / 5.7: |
Jointly Distributed Random Variables / 6: |
Joint Distribution Functions / 6.1: |
Independent Random Variables / 6.2: |
Sums of Independent Random Variables / 6.3: |
Conditional Distributions: Discrete Case / 6.4: |
Conditional Distributions: Continuous Case / 6.5: |
Order Statistics / 6.6: |
Joint Probability Distribution of Functions of Random Variables / 6.7: |
Exchangeable Random Variables / 6.8: |
Self-Test Problem and Exercises |
Properties of Expectation / 7: |
Expectation of Sums of Random Variables / 7.1: |
Obtaining Bounds from Expectations via the Probabilistic Method / 7.2.1: |
The Maximum-Minimums Identity / 7.2.2: |
Covariance, Variance of Sums, and Correlations / 7.3: |
Conditional Expectation / 7.4: |
Definitions / 7.4.1: |
Computing Expectations by Conditioning / 7.4.2: |
Computing Probabilities by Conditioning / 7.4.3: |
Conditional Variance / 7.4.4: |
Conditional Expectation and Prediction / 7.5: |
Moment Generating Functions / 7.6: |
Joint Moment Generating Functions / 7.6.1: |
Additional Properties of Normal Random Variables / 7.7: |
The Multivariate Normal Distribution / 7.7.1: |
The Joint Distribution of the Sample Mean and Sample Variance / 7.7.2: |
General Definition of Expectation / 7.8: |
Limit Theorems / 8: |
Chebyshev's Inequality and the Weak Law of Large Numbers / 8.1: |
The Central Limit Theorem / 8.3: |
The Strong Law of Large Numbers / 8.4: |
Other Inequalities / 8.5: |
Bounding the Error Probability When Approximating a Sum of Independent Bernoulli Random Variables by a Poisson / 8.6: |
Additional Topics in Probability / 9: |
The Poisson Process / 9.1: |
Markov Chains / 9.2: |
Surprise, Uncertainty, and Entropy / 9.3: |
Coding Theory and Entropy / 9.4: |
Theoretical Exercises and Problems |
References |
Simulation / 10: |
General Techniques for Simulating Continuous Random Variables / 10.1: |
The Inverse Transformation Method / 10.2.1: |
The Rejection Method / 10.2.2: |
Simulating from Discrete Distributions / 10.3: |
Variance Reduction Techniques / 10.4: |
Use of Antithetic Variables / 10.4.1: |
Variance Reduction by Conditioning / 10.4.2: |
Control Variates / 10.4.3: |
Answers to Selected Problems / Appendix A: |
Solutions to Self-Test Problems and Exercises / Appendix B: |
Index |
Preface |
Combinatorial Analysis / 1: |
Introduction / 1.1: |
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21.
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図書
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Meyer Dwass
出版情報: |
New York : W. A. Benjamin, 1970 xvii, 635 p. ; 24 cm |
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22.
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図書
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by Oscar Kempthorne and Leroy Folks
出版情報: |
Ames : Iowa State University Press, 1971 xvii, 555 p ; 24 cm |
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23.
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図書
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Harry Frank
出版情報: |
New York : Wiley, c1974 xvi, 431 p. ; 24 cm |
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24.
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図書
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edited by W.L. Harper and C.A. Hooke
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25.
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図書
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W. Hengartner, R. Theodorescu
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26.
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図書
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by A. Rényi ; [English translation by László Vekerdi]
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27.
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図書
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[by] Harry Lass and Peter Gottlieb
出版情報: |
Reading, Mass. : Addison-Wesley Pub. Co, 1971 ix, 470 p. ; 25 cm |
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28.
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図書
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[by] John G. Rau
出版情報: |
New York : Van Nostrand Reinhold Co., c1970 xi, 403 p. ; 24 cm |
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29.
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図書
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[by] Cyrus Derman, Leon J. Gleser [and] Ingram Olkin
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30.
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図書
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Heinz Bauer ; translated by Lisa Rosenblatt
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31.
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図書
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[by] Isaac N. Gibra
出版情報: |
Englewood Cliffs, N.J. : Prentice-Hall, [1973] xii, 596 p. ; 24 cm |
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32.
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図書
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James L.Melsa and Andrew P. Sage
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33.
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図書
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Eugene Lukacs
出版情報: |
New York : Academic Press, 1972 x, 242 p. ; 24 cm |
子書誌情報: |
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34.
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図書
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[by] J. A. McFadden
出版情報: |
New York : Van Nostrand Reinhold Co, [1971] viii, 224 p ; 23 cm |
子書誌情報: |
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35.
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図書
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by Sheldon M. Ross
目次情報:
続きを見る
Preface |
Introduction to Probability Theory / 1: |
Random Variables / 2: |
Conditional Probability and Conditional Expectation / 3: |
Markov Chains / 4: |
The Exponential Distribution and the Poisson Process / 5: |
Continuous-Time Markov Chains / 6: |
Renewal Theory and Its Applications / 7: |
Queueing Theory / 8: |
Reliability Theory / 9: |
Brownian Motion and Stationary Processes / 10: |
Simulation / 11: |
Appendix: Solutions to Starred Exercises |
Index |
Preface |
Introduction to Probability Theory / 1: |
Random Variables / 2: |
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36.
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図書
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K.R. Parthasarathy
出版情報: |
Delhi ; London : Macmillan, 1977 xii, 312 p. ; 22cm |
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37.
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図書
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Larson, Harold J., 1934- ; Shubert, Bruno O.
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38.
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図書
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[by] J. L. Hodges, Jr. and E. L. Lehmann
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39.
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図書
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Walter C. Giffin
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40.
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図書
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Willard E. Baxter, Clifford W. Sloyer
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41.
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図書
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R.G. Laha and V.K. Rohatgi
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42.
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図書
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Melvin Hausner
出版情報: |
New York, N. Y. : Plenum, c1971 viii, 310 p. ; 23 cm |
子書誌情報: |
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43.
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図書
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George G. Roussas
目次情報:
続きを見る
On the concept of contiguity and related theorems / 1: |
Asymptotic expansion and asymptotic distribution of likelihood functions / 2: |
Approximation of a given family of probability measures by an exponential family - asymptotic sufficiency / 3: |
Some statistical applications: AUMP and AUMPU tests for certain testing hypotheses problems / 4: |
Some statistical applications: asymptotic efficiency of estimates / 5: |
Multiparameter asymptotically optimal tests / 6: |
On the concept of contiguity and related theorems / 1: |
Asymptotic expansion and asymptotic distribution of likelihood functions / 2: |
Approximation of a given family of probability measures by an exponential family - asymptotic sufficiency / 3: |
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44.
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図書
|
V.K. Rohatgi
目次情報:
続きを見る
Probability |
Random Variables and Their Probability Distributions |
Moments and Generating Functions |
Random Vectors |
Some Special Distributions |
Limit Theorems |
Sample Moments and Their Distributions |
The Theory of Point Estimation |
Neyman-Pearson Theory of Testing of Hypotheses |
Some Further Results on Hypotheses Testing |
Confidence Estimation |
The General Linear Hypothesis |
Nonparametric Statistical Inference |
Sequential Statistical Inference |
Probability |
Random Variables and Their Probability Distributions |
Moments and Generating Functions |
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45.
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図書
|
Henry E. Kyburg, Jr
出版情報: |
Dordrecht ; Boston : Reidel, c1974 ix, 427 p. ; 23 cm |
シリーズ名: |
Synthese library ; v. 65 |
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46.
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図書
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Roger Cuppens
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47.
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図書
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[by] D. R. Cox
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48.
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図書
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by Patrick Suppes
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49.
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図書
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J. L. Mackie
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50.
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図書
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W.J. Padgett, R.L. Taylor
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51.
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図書
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Theodore Hailperin
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52.
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図書
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Herbert Heyer
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53.
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図書
|
Harold J. Larson, Bruno O. Shubert
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54.
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図書
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Harold J. Larson, Bruno O. Scubert
出版情報: |
New York : Wiley, c1979 2 v. ; 24 cm |
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55.
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図書
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A.G. Frodesen, O. Skjeggestad, H. Tøfte
出版情報: |
Bergen : Universitetsforlaget, c1979 (Bergen : Reklametrykk) xvii, 501 p. ; 23 cm |
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56.
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図書
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Robert Fortet ; [translated from the French]
出版情報: |
London ; New York : Gordon and Breach, c1977 xix, 524 p. ; 24 cm |
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57.
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図書
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by Vujica Yevjevich
出版情報: |
Fort Collins, Colo. : Water Resources Publications, 1972 vii, 302 p ; 24 cm |
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58.
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図書
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[by] Claude W. Burrill
出版情報: |
New York : McGraw-Hill, c1972 xiv, 464 p. ; 23 cm |
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59.
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図書
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Lester D. Taylor
出版情報: |
New York : Harper & Row, c1974 xiv, 346 p. ; 24 cm |
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60.
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図書
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Meyer Dwass
出版情報: |
New York : W.A. Benjamin, 1970 xvi, 413 p. ; 24 cm |
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61.
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図書
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by M.T. Wasan
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62.
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図書
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Joseph Newmark
出版情報: |
New York : Holt, Rinehart and Winston, c1977 xiii, 516 p. ; 25 cm |
子書誌情報: |
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63.
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図書
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Alfredo H-S. Ang, Wilson H. Tang
目次情報:
続きを見る
Role of Probability in Engineering / 1: |
Introduction / 1.1: |
Uncertainty in Real-World Information / 1.2: |
Uncertainty Associated with Randomness / 1.2.1: |
Uncertainty Associated with Imperfect Modeling and Estimation / 1.2.2: |
Design and Decision-Making Under Uncertainty / 1.3: |
Planning and Design of Airport Pavement / 1.3.1: |
Hydrologic Design / 1.3.2: |
Design of Structures and Machines / 1.3.3: |
Geotechnical Design / 1.3.4: |
Construction Planning and Management / 1.3.5: |
Photogrammetric, Geodetic, and Surveying Measurements / 1.3.6: |
Control and Standards / 1.4: |
Concluding Remarks / 1.5: |
Basic Probability Concepts / 2: |
Events and Probability / 2.1: |
Characteristics of Probability Problems / 2.1.1: |
Calculation of Probability / 2.1.2: |
Elements of Set Theory / 2.2: |
Definitions / 2.2.1: |
Combination of Events / 2.2.2: |
Operational Rules / 2.2.3: |
Mathematics of Probability / 2.3: |
Basic Axioms of Probability Addition Rule / 2.3.1: |
Conditional Probability Multiplication Rule / 2.3.2: |
Theorem of Total Probability / 2.3.3: |
Bayes' Theorem / 2.3.4: |
Concluding Remarks Problems / 2.4: |
Analytical Models of Random Phenomena / 3: |
Random Variables / 3.1: |
Probability Distribution of a Random Variable / 3.1.1: |
Main Descriptors of a Random Variable / 3.1.2: |
Useful Probability Distributions / 3.2: |
The Normal Distribution / 3.2.1: |
The Logarithmic Normal Distribution / 3.2.2: |
Bernoulli Sequence and the Binomial Distribution / 3.2.3: |
The Geometric Distribution / 3.2.4: |
The Negative Binomial Distribution / 3.2.5: |
The Poisson Process and Poisson Distribution / 3.2.6: |
The Exponential Distribution / 3.2.7: |
The Gamma Distribution / 3.2.8: |
The Hypergeometric Distribution / 3.2.9: |
The Beta Distribution / 3.2.10: |
Other Distributions / 3.2.11: |
Multiple Random Variables / 3.3: |
Joint and Conditional Probability Distributions / 3.3.1: |
Covariance and Correlation / 3.3.2: |
Conditional Mean and Variance / 3.3.3: |
Functions of Random Variables / 3.4: |
Derived Probability Distributions / 4.1: |
Function of Single Random Variable / 4.2.1: |
Function of Multiple Random Variables / 4.2.2: |
Moments of Functions of Random Variables / 4.3: |
Mean and Variance of a Linear Function / 4.3.1: |
Product of Independent Variates / 4.3.3: |
Mean and Variance of a General Function / 4.3.4: |
Estimating Parameters from Observational Data / 4.4: |
The Role of Statistical Inference in Engineering / 5.1: |
Inherent Variability and Estimation Error / 5.1.1: |
Classical Approach to Estimation of Parameters / 5.2: |
Random Sampling and Point Estimation / 5.2.1: |
Interval Estimation of the Mean / 5.2.2: |
Problems of Measurement Theory / 5.2.3: |
Interval Estimation of the Variance / 5.2.4: |
Estimation of Proportion / 5.2.5: |
Empirical Determination of Distribution Models / 5.3: |
Probability Paper / 6.1: |
The Normal Probability Paper / 6.2.1: |
The Log-Normal Probability Paper / 6.2.2: |
Construction of General Probability Paper / 6.2.3: |
Testing Validity of Assumed Distribution / 6.3: |
Chi-Square Test for Distribution / 6.3.1: |
Kolmogorov-Smirnov Test for Distribution / 6.3.2: |
Regression and Correlation Analyses / 6.4: |
Basic Formulation of Linear Regression / 7.1: |
Regression with Constant Variance / 7.1.1: |
Regression with Nonconstant Variance / 7.1.2: |
Multiple Linear Regression / 7.2: |
Nonlinear Regression / 7.3: |
Applications of Regression Analysis in Engineering / 7.4: |
Correlation Analysis / 7.5: |
Estimation of Correlation Coefficient / 7.5.1: |
The Bayesian Approach / 7.6: |
Basic Concepts-The Discrete Case / 8.1: |
The Continuous Case / 8.3: |
General Formulation / 8.3.1: |
A Special Application of Bayesian Up-dating Process / 8.3.2: |
Bayesian Concepts in Sampling Theory / 8.4: |
Sampling from Normal Population / 8.4.1: |
Error in Estimation / 8.4.3: |
Use of Conjugate Distributions / 8.4.4: |
Elements of Quality Assurance and Acceptance Sampling / 8.5: |
Acceptance Sampling by Attributes / 9.1: |
The Operating Characteristic (OC) Curve / 9.1.1: |
The Success Run / 9.1.2: |
The Average Outgoing Quality Curve / 9.1.3: |
Acceptance Sampling by Variables / 9.2: |
Average Quality Criterion, sigma Known / 9.2.1: |
Average Quality Criterion, sigma Unknown / 9.2.2: |
Fraction Defective Criterion / 9.2.3: |
Multiple-Stage Sampling / 9.3: |
Probability Tables / 9.4: |
Table of Standard Normal Probability / Table A.1: |
p-Percentile Values of the t-Distribution / Table A.2: |
p-Percentile Values of the x 2 -Distribution / Table A.3: |
Critical Values of D alpha; in the Kolmogorov-Smirnov Test / Table A.4: |
Combinatorial Formulas / Appendix B: |
Derivation of the Poisson Distribution / Appendix C: |
References |
Index |
Role of Probability in Engineering / 1: |
Introduction / 1.1: |
Uncertainty in Real-World Information / 1.2: |
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64.
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図書
|
Morris H. DeGroot
目次情報:
続きを見る
Introduction to Probability / 1: |
The History of Probability |
Interpretations of Probability |
Experiments and Events |
Set Theory |
The Definition of Probability |
Finite Sample Spaces |
Counting Methods |
Combinatorial Methods |
Multinomial Coefficients |
The Probability of a Union of Events |
Statistical Swindles |
Supplementary Exercises |
Conditional Probability / 2: |
The Definition of Conditional Probability |
Independent Events |
Bayes' Theorem |
Markov Chains |
The Gambler's Ruin Problem |
Random Variables and Distribution / 3: |
Random Variables and Discrete Distributions |
Continuous Distributions |
The Distribution Function |
Bivariate Distributions |
Marginal Distributions |
Conditional Distributions |
Multivariate Distributions |
Functions of a Random Variable |
Functions of Two or More Random Variables |
Expectation / 4: |
The Expectation of a Random Variable |
Properties of Expectations |
Variance |
Moments |
The Mean and The Median |
Covariance and Correlation |
Conditional Expectation |
The Sample Mean |
Utility |
Special Distributions / 5: |
Introduction |
The Bernoulli and Binomial Distributions |
The Hypergeometric Distribution |
The Poisson Distribution |
The Negative Binomial Distribution |
The Normal Distribution |
The Central Limit Theorem |
The Correction for Continuity |
The Gamma Distribution |
The Beta Distribution |
The Multinomial Distribution |
The Bivariate Normal Distribution |
Estimation / 6: |
Statistical Inference |
Prior and Posterior Distributions |
Conjugate Prior Distributions |
Bayes Estimators |
Maximum Likelihood Estimators |
Properties of Maximum Likelihood Estimators |
Sufficient Statistics |
Jointly Sufficient Statistics |
Improving an Estimator |
Sampling Distributions of Estimators / 7: |
The Sampling Distribution of a Statistic |
The Chi-Square Distribution |
Joint Distribution of the Sample Mean and Sample Variance |
The t Distribution |
Confidence Intervals |
Bayesian Analysis of Samples from a Normal Distribution |
Unbiased Estimators |
Fisher Information |
Testing Hypotheses / 8: |
Problems of Testing Hypotheses |
Testing Simple Hypotheses |
Uniformly Most Powerful Tests |
Two-Sided Alternatives |
The t Test |
Comparing the Means of Two Normal Distributions |
The F Distribution |
Bayes Test Procedures |
Foundational Issues |
Categorical Data and Nonparametric Methods / 9: |
Tests of Goodness-of-Fit |
Goodness-of-Fit for Composite Hypotheses |
Contingency Tables |
Tests of Homogeneit |
Simpson's Paradox |
Kolmogorov-Smirnov Test |
Robust Estimation |
Sign and Rank Tests |
Linear Statistical Models / 10: |
The Method of Least Squares |
Regression |
Statistical Inference in Simple Linear Regression |
Bayesian Inference in Simple Linear Regression |
The General Linear Model and Multiple Regression |
Analysis of Variance |
The Two-Way Layout |
The Two-Way Layout with Replications |
Simulation / 11: |
Why is Simulation Useful? |
Simulating Specific Distributions |
Importance Sampling |
Markov Chain Monte Carlo |
The Bootstrap |
Introduction to Probability / 1: |
The History of Probability |
Interpretations of Probability |
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65.
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図書
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[by] Tue Tjur
出版情報: |
Copenhagen : University of Copenhagen, Institute of Mathematical Statistics, 1972 183 p. ; 25 cm |
シリーズ名: |
Lecture notes ; 1 |
子書誌情報: |
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66.
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図書
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[by] Wilbur B. Davenport, Jr
出版情報: |
New York : McGraw-Hill , Tokyo : Mcgraw-Hill Kogakusha, [1970] xvii, 542 p. ; 23 cm |
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67.
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図書
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[by] G. Hasenjaeger ; [Translated from the German by E. C. M. Mays]
出版情報: |
Dordrecht-Holland : D. Reidel Pub. Co, c1972 180 p. ; 23 cm |
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68.
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図書
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Bruno De Finetti
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69.
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図書
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[by] Richard G. Krutchkoff
出版情報: |
New York : Gordon and Breach Science Publishers, [1970] xiv, 291 p ; 23 cm |
子書誌情報: |
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70.
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図書
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[by] George P. Wadsworth [and] Joseph G. Bryan
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71.
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図書
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Shlomo Reutlinger
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72.
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図書
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James V. Bradley
出版情報: |
Englewood Cliffs, N.J. : Prentice-Hall, c1976 xviii, 586 p. ; 24 cm |
子書誌情報: |
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73.
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図書
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George W. Mackey
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74.
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図書
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Arnold Levine
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75.
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図書
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J.C. Turner
出版情報: |
London : English Universities Press, c1970 viii, 502 p. ; 23 cm |
子書誌情報: |
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76.
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図書
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Alfred Rényi
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77.
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図書
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Arthur M. Breipohl
出版情報: |
New York : Wiley, c1970 xv, 352 p. ; 23 cm |
子書誌情報: |
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78.
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図書
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Kai Lai Chung
目次情報:
続きを見る
Preface to the third edition |
Preface to the second edition |
Preface to the first edition |
Distribution function / 1: |
Monotone functions / 1.1: |
Distribution functions / 1.2: |
Absolutely continuous and singular distributions / 1.3: |
Measure theory / 2: |
Classes of sets / 2.1: |
Probability measures and their distribution functions / 2.2: |
Random variable. Expectation. Independence / 3: |
General definitions / 3.1: |
Properties of mathematical expectation / 3.2: |
Independence / 3.3: |
Convergence concepts / 4: |
Various modes of convergence / 4.1: |
Almost sure convergence; Borel-Cantelli lemma / 4.2: |
Vague convergence / 4.3: |
Continuation / 4.4: |
Uniform integrability; convergence of moments / 4.5: |
Law of large numbers. Random series / 5: |
Simple limit theorems / 5.1: |
Weak law of large numbers / 5.2: |
Convergence of series / 5.3: |
Strong law of large numbers / 5.4: |
Applications / 5.5: |
Bibliographical Note |
Characteristic function / 6: |
General properties; convolutions / 6.1: |
Uniqueness and inversion / 6.2: |
Convergence theorems / 6.3: |
Simple applications / 6.4: |
Representation theorems / 6.5: |
Multidimensional case; Laplace transforms / 6.6: |
Central limit theorem and its ramifications / 7: |
Liapounov's theorem / 7.1: |
Lindeberg-Feller theorem / 7.2: |
Ramifications of the central limit theorem / 7.3: |
Error estimation / 7.4: |
Law of the iterated logarithm / 7.5: |
Infinite divisibility / 7.6: |
Random walk / 8: |
Zero-or-one laws / 8.1: |
Basic notions / 8.2: |
Recurrence / 8.3: |
Fine structure / 8.4: |
Conditioning. Markov property. Martingale / 8.5: |
Basic properties of conditional expectation / 9.1: |
Conditional independence; Markov property / 9.2: |
Basic properties of smartingales / 9.3: |
Inequalities and convergence / 9.4: |
Supplement: Measure and Integral / 9.5: |
Construction of measure |
Characterization of extensions |
Measures in R |
Integral |
General Bibliography |
Index |
Preface to the third edition |
Preface to the second edition |
Preface to the first edition |
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79.
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図書
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Yuan Shih Chow, Henry Teicher
出版情報: |
New York : Springer-Verlag, c1978 xv, 455 p. ; 24 cm |
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80.
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図書
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Robert B. Ash
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81.
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図書
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by Irving W. Burr
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82.
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図書
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M. Loève
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83.
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図書
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Harold J. Kushner
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84.
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図書
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J.K. Wani
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