Keywords

statistics, postgraduate students, doctoral students, faculty members, agricultural statistics, engineering, social sciences, biological sciences, competitive examinations, analysis of variance, designs of experiments, point estimation, interval estimation, non-parametric methods, tests

Basic Concepts in Statistics

authored by: K.S. Kushwaha
Browse all books of K. S. Kushwaha
ISBN: 9788189422400 | Binding: Hardback | Pages: 212 | Language: English | Copyright: 2009
Length: 152 mm | Breadth: 12.6 mm | Height: 229 mm | Imprint: NIPA | Weight: 600 GMS
USD 94.00 USD 85.00
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The book "Basic Concepts in Statistics" is a valuable resource for postgraduate and doctoral students, as well as faculty members in the fields of statistics, agricultural statistics, and engineering, social sciences, and biological sciences. Additionally, it is useful for students preparing for competitive examinations with a statistics component, such as those administered by state P.S.C's, U.P.S.C., A.S.R.B., and I.S.S. This book is the result of 25 years of teaching experience and covers 15 chapters on various statistical topics, including analysis of variance, designs of experiments, point and interval estimation theories, and non-parametric methods and tests. It is suitable for students at both the undergraduate and graduate levels.

K.S. Kushwaha: M.Sc., P.S.C.C., Ph.D. (Statistics), Recipient of Dr. Radhakrishanan Award (1992), Associate Professor (Statistics), Department of Mathematics & Statistics, Jawaharlal Nehru Krishi Vishwavidayalaya, Jabalpur, Madhya Pradesh, India.

Section A: Design of Experiments: 01. Preliminaries 02. ANOVA & Three Basic Design of Experiments 03. Incomplete Block Design (IBD) 04. Factorial Experiment 05. Split Plot Experiment 06. Strip Plot Design/Split Block Design 07. Progeny Row Trial and Compact Family Block Design 08. Analysis of Covariance Section B: Sampling Distribution and Associated Test of Significance: 09. Tests Based on Large Sample 10. x2 Distribution and Its Applications 11. F and 't' Distributions and Their Applications Section C: Statistics Inference: 12. Estimation Theory 13. Methods of Estimation 14. Theory of Testing of Hypothesis 15. Non Parametric Method of Estimation

 
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