# A Guide to Chi-Squared Testing

John Wiley & Sons, 5 квіт. 1996 р. - 304 стор.
The first step-by-step guide to conducting successful Chi-squaredtests

Chi-squared testing is one of the most commonly applied statisticaltechniques. It provides reliable answers for researchers in a widerange of fields, including engineering, manufacturing, finance,agriculture, and medicine.

A Guide to Chi-Squared Testing brings readers up to date on recentinnovations and important material previously published only in theformer Soviet Union. Its clear, concise treatment and practicaladvice make this an ideal reference for all researchers andconsultants.

Authors Priscilla E. Greenwood and Mikhail S. Nikulin demonstratethe application of these general purpose tests in a wide variety ofspecific settings. They also
* Detail the various decisions to be made when applying Chi-squaredtests to real data, and the proper application of these tests instandard hypothesis-testing situations
* Describe how Chi-squared type tests allow statisticians toconstruct a test statistic whose distribution is asymptoticallyChi-squared, and to compute power against various alternatives
* Devote half of the book to examples of Chi-squared tests that canbe easily adapted to situations not covered in the book
* Provide a self-contained, accessible treatment of themathematical requisites
* Include an extensive bibliography and suggestions for furtherreading

### Відгуки відвідувачів -Написати рецензію

Не знайдено жодних рецензій.

### Зміст

 The ChiSquared Test of Pearson 1 Pearsons Statistic 1 Some Recommendations When n is Small 18 Chisquared Test Against a Simple Alternative 21 The Continuity Correction for Pearsons Test with One Degree of Freedom and the 2 x 2 Table 28 Chisquared Test for Randomness of a Sample 33 How Many Classes? 39 Other Measures of Fit 42 Pearsons Statistic and the Theory of Estimation 65
 Distribution of Test Statistic Again Depends on Method of Estimation 108 A Modification of Pearsons Statistic 119 The Chisquared Test for Continuous Distributions with Location and Scale Parameters 129 The Chisquared Test for an Exponential Family 160 Some Additional Examples 227 Multivariate Normal and Chisquared Distributions 248 References 259 Index 275

 Fishers Theorem 70 Distribution of the Test Statistic Depends on Method of Estimation 98
 Авторські права

### Посилання на книгу

 Asymptotic StatisticsA. W. van der VaartОбмежений попередній перегляд - 2000
 Exact Analysis of Discrete DataKarim F. HirjiОбмежений попередній перегляд - 2005
Усі результати пошуку книг &raquo;

### Про автора (1996)

Priscilla E. Greenwood is Professor of Mathematics at the University of British Columbia, Vancouver, Canada. A Fellow of the Institute of Mathematical Statistics, she received her PhD in mathematics from the University of Wisconsin.

Mikhail S. Nikulin is Professor of Statistics at The University Bordeaux 2 and a member of The Laboratory of Statistical Methods of the Steklov Mathematical Institute at St. Petersburg. He earned his doctorate in the Theory of Probability and Mathematical Statistics from The Steklov Mathematical Institute in Moscow.