Course in Large Sample Theory
List price: $125.95
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Description: Presented in four parts, this book provides a complete picture of genome statistics. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting. The book is ideal for a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions, making it an ideal text for self study.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $125.95
Copyright year: 1996
Publisher: CRC Press LLC
Publication date: 7/1/1996
Size: 6.25" wide x 9.50" long x 0.50" tall
|Modes of Convergence|
|Partial Converses to Theorem 1|
|Convergence in Law|
|Laws of Large Numbers|
|Central Limit Theorems|
|Basic Statistical Large Sample Theory|
|Functions of the Sample Moments|
|The Sample Correlation Coefficient|
|Asymptotic Power of the Pearson Chi-Square Test|
|Stationary m-Dependent Sequences|
|Some Rank Statistics|
|Asymptotic Distribution of Sample Quantiles|
|Asymptotic Theory of Extreme Order Statistics|
|Asymptotic Joint Distributions of Extrema|
|Efficient Estimation and Testing|
|A Uniform Strong Law of Large Numbers|
|Strong Consistency of Maximum-Likelihood Estimates|
|Asymptotic Normality of the Maximum-Likelihood Estimate|
|The Cramer-Rao Lower Bound|
|Asymptotic Normality of Posterior Distributions|
|Asymptotic Distribution of the Likelihood Ratio Test Statistic|
|Minimum Chi-Square Estimates|
|General Chi-Square Tests|
|Appendix: Solutions to the exercises|