Parametric Statistical Inference is popular PDF and ePub book, written by Shelemyahu Zacks in 2014-05-20, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Parametric Statistical Inference can be Read Online from any device for your convenience.
Parametric Statistical Inference Book PDF Summary
Parametric Statistical Inference: Basic Theory and Modern Approaches presents the developments and modern trends in statistical inference to students who do not have advanced mathematical and statistical preparation. The topics discussed in the book are basic and common to many fields of statistical inference and thus serve as a jumping board for in-depth study. The book is organized into eight chapters. Chapter 1 provides an overview of how the theory of statistical inference is presented in subsequent chapters. Chapter 2 briefly discusses statistical distributions and their properties. Chapter 3 is devoted to the problem of sufficient statistics and the information in samples, and Chapter 4 presents some basic results from the theory of testing statistical hypothesis. In Chapter 5, the classical theory of estimation is developed. Chapter 6 discusses the efficiency of estimators and some large sample properties, while Chapter 7 studies the topics on confidence intervals. Finally, Chapter 8 is about decision theoretic and Bayesian approach in testing and estimation. Senior undergraduate and graduate students in statistics and mathematics, and those who have taken an introductory course in probability will highly benefit from this book.
Detail Book of Parametric Statistical Inference PDF
- Author : Shelemyahu Zacks
- Release : 20 May 2014
- Publisher : Elsevier
- ISBN : 9781483150499
- Genre : Mathematics
- Total Page : 404 pages
- Language : English
- PDF File Size : 13,6 Mb
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