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Statistical Hypothesis Testing Theory and Methods

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ISBN-10: 9812814361

ISBN-13: 9789812814364

Edition: 2008

Authors: Ning-Zhong Shi, Jian Tao

List price: $111.00
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Description:

"This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978-2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques."--BOOK JACKET.
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Book details

List price: $111.00
Copyright year: 2008
Publisher: World Scientific Publishing Co Pte Ltd
Publication date: 9/29/2008
Binding: Hardcover
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.298
Language: English

Preface
Statistical Spaces
Basic Properties of Statistical Spaces
Measure in Statistical Spaces
Equivalence and Divisibility of Family of Probability Distributions
Conditional Probability and Sufficient Statistics
Statistics and Random Variables
Conditional Probability
Sufficient Statistics
Exponential Family and Completeness
Exponential Family
Completeness
Sufficiency and Completeness
Ancillary Statistics
Estimation Methods Based on Statistical Space
Moment Estimation and Median Estimation
Maximum Likelihood Estimators
Quality of Estimators
Comparison of Estimators
Nonparametric MLE for Population cdf
Problems
Methods of Statistical Tests
Introduction: Background of Problem
Likelihood Ratio Tests
The Likelihood Ratio Methods
LRT's Limiting Distribution
Tests of Goodness-of-fit
Limiting Distribution
Test of Independence in Two-Way Contingency Table
Test of Independence in Three-Way Contingency Table
Goodness-of-Fit Test of Distribution Function
Sign Tests and Rank Tests
Sign Tests
Wilcoxon Signed Rank Tests
Wilcoxon Rank Tests
U-I Tests
Empirical Likelihood-Ratio Tests
Problems
The Comparison of Test Statistics
Probability of Two Types of Error in Hypothesis Test
Neyman-Pearson Fundamental Lemma
Unbiased Test
Comparing Power Functions
Test Procedures
Power Functions and Their Comparison
Comparing Robustness
Efficiency of Tests
Asymptotic Relative Efficiency
Interval Estimation Based on Test
Interval Estimation and Acceptance Region
Uniformly Most Accurate Confidence Interval
Uniformly Most Accurate Unbiased Confidence Interval
Uniformly Most Accuracy and Interval Length
Problems
Parametric Tests for Simple Models
One-Factor Model: Analysis of Variance
One-Factor Model: Multiple Comparisons
Multiple Comparisons
Generalized Multiple Comparisons
The False Discovery Rate Procedure
One-Factor Model: Trend Tests
Linearity Tests
Likelihood Ratio Test
Linear Rank Tests
Multi-Factor Model: Analysis of Variance
Model Without Interaction Effects
Model with Interaction Effects
Multi-Factor Model: Log-linear Models
Two-Dimensional Contingency Table
Three-Dimensional Contingency Table
Ancillary Parameter Model
Problems
Parametric Tests for Regression Models
Linear Models
Establishment of Model
Estimating and Testing the Parameters
Centralization
Regression Models
Regression Model and Linear Model
Errors-in-Variables Model
Logistic Regression Models
One-Variable Case
Multivariable Case
Time Series: Trend Term Models
Time Series: Autoregressive Models
Random Walk and Brownian Motion
Autoregressive Model
Granger Causality Tests
Granger Causality
Integration of Order d
Real Data Analysis
Problems
Bibliography
Index