Mathematical Statistics Book Pdf By Pk Sahu


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Estimation and Inferential Statistics


Estimation and Inferential Statistics

Author: Pradip Kumar Sahu

language: en

Publisher: Springer

Release Date: 2015-11-03


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This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. Every concept is supported with relevant research examples to help readers to find the most suitable application. Statistical tools have been presented by using real-life examples, removing the “fear factor” usually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.

Agriculture And Applied Statistics-I


Agriculture And Applied Statistics-I

Author: P. K. Sahu

language: en

Publisher:

Release Date: 2007-01-01


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Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields


Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields

Author: Pradip Kumar Sahu

language: en

Publisher: Springer

Release Date: 2017-01-18


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This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner that, after reading the book, readers will be equipped to apply the statistical tools to extract otherwise hidden information from their data sets with confidence. Starting with the meaning of statistics, the book introduces measures of central tendency, dispersion, association, sampling methods, probability, inference, designs of experiments and many other subjects of interest in a step-by-step and lucid manner. The relevant theories are described in detail, followed by a broad range of real-world worked-out examples, solved either manually or with the help of statistical packages. In closing, the book also includes a chapter on which statistical packages to use, depending on the user’s respective requirements.