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目次情報: 続きを見る

ature of Bayesian Inference

tandard Normal Theory Inference Problems

ayesian Assessment of Assumptions: Effect of Non-Normality on Inferences About a Population Mean with Generalizations

ayesian Assessment of Assumptions: Comparison of Variances

andom Effect Models

nalysis of Cross Classification Designs

nference About Means with Information from More than One Source: One-Way Classification and Block Designs

ome Aspects of Multivariate Analysis

stimation of Common Regression Coefficients

ransformation of Data

Tables

References

Indexes

ature of Bayesian Inference

tandard Normal Theory Inference Problems

ayesian Assessment of Assumptions: Effect of Non-Normality on Inferences About a Population Mean with Generalizations

目次情報: 続きを見る

Approaching Data Analysis / 1：

Indication and Indicators / 2：

Displays and Summaries for Batches / 3：

Straightening Curves and Plots / 4：

The Practice of Re-expression / 5：

Need We Reexpress? / 6：

Hunting Out the Real Uncertainty / 7：

A Method of Direct Assessment / 8：

Two-and More-way Tables / 9：

Robust and Resistant Measures of Location and Scale / 10：

Standardizing for Comparison / 11：

Regression for Fitting / 12：

Woes of Regression Coefficients / 13：

Mechanisms Usually Operating in Linear Fitting / 14：

Guided Regression / 15：

Examining Regression Residuals / 16：

Approaching Data Analysis / 1：

Indication and Indicators / 2：

Displays and Summaries for Batches / 3：