Linear Statistical Inference and its Applications ( Wiley Series in Probability and Statistics )

Publication series :Wiley Series in Probability and Statistics

Author: C. Radhakrishna Rao  

Publisher: John Wiley & Sons Inc‎

Publication year: 2009

E-ISBN: 9780470317143

P-ISBN(Paperback): 9780471218753

P-ISBN(Hardback):  9780471708230

Subject: O212 Statistics

Language: ENG

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Description

"C. R. Rao would be found in almost any statistician's list of five outstanding workers in the world of Mathematical Statistics today. His book represents a comprehensive account of the main body of results that comprise modern statistical theory."
-W. G. Cochran

"[C. R. Rao is] one of the pioneers who laid the foundations of statistics which grew from ad hoc origins into a firmly grounded mathematical science."
-B. Efrom

Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost works in statistical inference in the literature. Incorporating the important developments in the subject that have taken place in the last three decades, this paperback reprint of his classic work on statistical inference remains highly applicable to statistical analysis. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers:
* The algebra of vectors and matrices
* Probability theory, tools, and techniques
* Continuous probability models
* The theory of least squares and the analysis of variance
* Criteria and methods of estimation
* Large sample theory and methods
* The theory of statistical inference
* Multivariate normal distribution


Written for the student and professional with a basic knowledge of statistics, this practical paperback edition gives this industry standard new life as a key resource for practicing statisticians and statisticians-in-training.

Chapter

CHAPTER 3. Continuous Probability Models

pp.:  103 – 179

CHAPTER 4. The Theory of Least Squares and Analysis of Variance

pp.:  179 – 244

CHAPTER 5 Criteria and Methods of Estimation

pp.:  244 – 338

CHAPTER 6. Large Sample Theory and Methods

pp.:  338 – 406

CHAPTER 7. Theory of Statistical Inference

pp.:  406 – 468

CHAPTER 8. Multivariate Analysis

pp.:  468 – 540

Publications of the Author

pp.:  540 – 629

Author Index

pp.:  629 – 639

Subject Index

pp.:  639 – 642

LastPages

pp.:  642 – 656

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