Agriculture & Allied Sciences

Essentials of Statistics in Agricultural Sciences
Editors: Pradeep Mishra, PhD
Fozia Homa, PhD

Essentials of Statistics in Agricultural Sciences

Published. Available now.
Pub Date: July 2019
Hardback Price: See Ordering info
Hard ISBN: 9781771887526
Paperback ISBN: 978-1-77463-444-8
E-Book ISBN: 9780429425769
Pages: 542pp w/index
Binding Type: hardbound / ebook / paperback
Notes: 2 color and 281 b/w illustrations


Reviews
“A very useful and well-conceived book . . . The book aims at a varied range of readers. Mainly, the book has two parts: the basic statistics part and the specialized chapters. In the first chapter, the authors have tried to cover almost all the basic needs of users of statistics in the field of agriculture. Topics like central tendency, dispersion, correlation-regression, testing of hypothesis, and widely used probability distributions, like normal, binomial, etc., have been covered in this chapter. For a user having no or limited knowledge of statistics, this chapter will be of very much help.

“For an inquisitive and interested reader, the specialized chapters on design of experiments, statistical inference, sampling techniques, time series, and index number analysis will definitely draw attention. The authors have intended to provide in-depth of coverage each of these topics . . . The most important part of the book is most probably the last two chapters. Statistical software has made it possible for wide applications of statistical theories in everyday life and science. In these two chapters, the authors provide overviews of some of the statistical software programs and their uses in solving statistical problems. Numerical problems solved with the help of the software in the form of demonstration will encourage users to use more and more sophisticated statistical tools in unearthing the so long hidden information from their respective fields. By and large, the book will be appreciated by the readers in agriculture.”
—Prof. P. K. Sahu, Professor, Department of Agricultural Statistics, Bidhan Chandra Agricultural University, West Bengal, India


Now Available in Paperback


This book, Essentials of Statistics in Agricultural Sciences, is an introductory text presenting some of the basic concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. An understanding of the basics, logic, and theory of statistics is very essential for agricultural researchers for dealing with the interpretation of data. This volume covers basic statistics, design of experiments, concepts of sampling techniques, time series, inference outlines, and other topics in an easy-to-understand manner and is aimed at students and researchers with little or no mathematical background.

In the agriculture scenario, students and researchers face problems with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to capturing statistical software like MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).

The book will be helpful in concept building and exposition of statistical techniques for agriculture students as well as researchers. This book will be valuable for experimental scientists, particularly in the biological fields, as many of them generally don’t have much knowledge in the theoretical aspects of statistics. It will help readers to understand the basics of statistics, rules for design of experiments, sampling techniques, forecasting models, data handling, and statistical software.

Key features:
  • Shows how to use statistical tools in different conditions
  • Covers the handling of data
  • Presents how to use output for decision making after analysis
  • Introduces how to use statistical software for analysis purposes
  • Looks at advance time series modeling
  • CONTENTS:
    Preface

    1. The Basics of Statistics
    P. Mishra, B. S. Dhekale, R. B. Singh, K. P. Vishwajith, and G. K. Vani

    2. Design of Experiments
    D. Ramesh, G. R. Manjunatha, P. Mishra, A. K. Tailor, and B. S. Dhekale

    3. The Axioms of Statistical Inference: Estimation and Hypothesis Testing
    Mukti Khetan, Prashant Verma, Shweta Dixit, and F. Homa

    4. Assessment of Sampling Techniques: Theory and Application
    Fozia Homa, Mukti Khetan, and Shweta Dixit

    5. Time Series
    B. S. Dhekale, K. P. Vishwajith, P. Mishra, G. K. Vani, and D. Ramesh

    6. Overview of MS Excel, SPSS, Minitab, and R
    P. Mishra, R. B. Singh, G. K. Vani, G. F. Ahemd, and Supriya

    7. Overview of JMP and SAS
    P. Mishra, D. Ramesh, R. B. Singh, Supriya, and A. K. Tailor

    Index


    About the Authors / Editors:
    Editors: Pradeep Mishra, PhD
    Assistant Professor, Department of Mathematics and Statistics, College of Agriculture, Jawaharlal Nehru Agricultural University, Jabalpur, Madhya Pradesh, India

    Pradeep Mishra, PhD, is an Assistant Professor of statistics at the College of Agriculture at the Jawaharlal Nehru Agricultural University, Jabalpur, Madhya Pradesh, India. Dr. Mishra formerly served as a data management specialist at a private multinational company for several years. He specializes in the field of time series, design of experiments, and agriculture statistics. He has published more than 45 research articles in international and national journals. He has won several awards, including a young scientist award in 2017 at the international conference Global Research Initiatives for Sustainable Agriculture & Allied Sciences (GRISAAS-2017), best doctoral degree at the same meeting in 2018, and award for a paper from the Society of Economics & Development in 2018, among other honors. Dr. Mishra earned his BSc in Agriculture from the College of Agriculture, Bilaspur, affiliated with the Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G .); his MSc in Agricultural Statistics from the College of Agriculture, Jawaharlal Nehru Agricultural University; and his PhD in Agriculture Statistics, specializing in modeling and forecasting of foods crops in India and their yield sustainability. During his PhD research work earned him to be selected for an INSPIRE Fellowship by Department of Science and Technology of the government of India.

    Fozia Homa, PhD
    Assistant Professor and Scientist, Department of Statistics, Mathematics and Computer Application, Bihar Agricultural University, Sabour, India

    Fozia Homa, PhD, is an Assistant Professor and Scientist in the Department of Statistics, Mathematics and Computer Application, Bihar Agricultural University, Sabour, India, and author or co-author of several journal articles. Dr. Fozia has received numerous awards in recognition of her research and teaching achievements from several organizations of national and international repute. She has been conferred with the Young Scientist Award in the field of Mathematics and Statistics (2016) by Aufau Periodicals, Tamil Nadu, India. She was also awarded with a SP Dhall Distinguished Publication Award in Statistics (2015) by the Society for Advancement of Human and Nature, Himachal Pradesh, India; Young Scientist Award (2015) by the Venus International Foundation, Chennai, India; and Best Young Researcher Award (2015) by GRABS Educational Trust, Chennai, India. She has been an active member of the organizing committees of several national and international seminars, conferences, and summits. Dr. Fozia Homa acquired her BSc (Statistics Hons) and MSc (Statistics) degrees from Banaras Hindu University, Varanasi, Utter Pradesh, India, and her PhD (Applied Statistics) with specialization in sampling techniques from the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India. She has received several grants from various funding agencies to carry out her research projects. Her areas of specialization include sample surveys, population studies and mathematical modeling.




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