K. S. Kushwaha

The book Agricultural Statistics has been created with the needs of U.G. and P.G. students in Pure Statistics, Agricultural Statistics, Biological & Social Sciences, as well as those preparing for competitive exams such as I.S.S., S.S.S., States P.S.C., and I.A.S. Additionally, it is beneficial for faculty members in the Department of Statistics at Indian Universities. This book is a result of the authors 28 years of teaching experience with U.G., P.G., and Ph.D. students from various disciplines of Agriculture, Agil. Engg. and Agril. Statistics at J.N.K.V.V. Jabalpur.

The book Practical Multivariate Statistics has been designed for P.G. and Ph.D. students studying Pure Statistics, Agricultural Statistics, Biological & Social Sciences, as well as individuals preparing for competitive examinations, such as ISS, IES, SSS, A.S.R.B., States PSCs, NET, and IAS. Additionally, this book is beneficial for faculty members in the Department of Statistics at Indian universities. The book is the result of 33 years of teaching experience in U.G., P.G., and Ph.D. programs across various disciplines of Agriculture, Agril. Engg., and Agril Statistics.The book is composed of 12 chapters, the first five of which focus on Multivariate Analysis, while chapters six through nine cover Multivariate Regression Analysis. Chapters ten and eleven address Multicollinearity and Sampling Distributions of Partial & Multiple Correlation, respectively, and chapter twelve discusses Elements of Stochastic Processes. Each chapter features three types of questions: True/False, Fill in the Blanks, and Multiple Choice Questions along with their corresponding Key Answers.

The book is the result of 30 years of teaching experience by the author in Agriculture, Agril. Engg., and Agril Statistics for U.G., P.G., and Ph.D. students at J.N.K.V.V., Jabalpur. It comprises of 9 chapters, with the first two addressing Point Estimation, the third discussing Interval Estimation, and the fourth and fifth chapters focusing on Test of Hypothesis. The sixth chapter covers Sequential Statistics, while the seventh addresses Decision Theory, and the eighth and ninth chapters delve into Linear Estimation and Theory of Ordered Statistics, respectively.

In this second edition of the book, two new chapters of great academic importance have been added, namely Chapter 14 on Multiple and Partial Correlation Regression, and Chapter 15 on Non-Parametric Methods. These chapters provide fundamental definitions and numerical examples on multiple and partial correlation coefficients, as well as Spearmans rank correlation, partial correlation, and multiple regression using appropriate statistical formulas. Additionally, Chapter 15 covers the most appropriate methods for analyzing data collected in social sciences, which is often based on answers provided by respondents through their memories and may suffer from memory lapses or intentional errors. The examples provided in both chapters will be valuable assets for readers and users to gain a fundamental understanding of the subject matter.

This book, Objective Agriculture Statistics - 2nd Revised Edition, is an expanded version of the previously published book that was released in the year 2011. It now includes additional content on Sample Survey, which is presented as the Supplementary Part.In this new edition, readers will find 94 pages covering a range of topics, including (1) Sampling on Successive Occasions, (2) Non-Sampling Errors, (3) National Sample Surveys, (4) Agricultural Statistics System in India, and (5) 10 Model Papers. These additions will provide better coverage for students and will aid them in preparing for various competitive examinations, as mentioned in the first edition.

The book Practical Multivariate Statistics has been specifically designed for P.G. and Ph.D. students majoring in Pure Statistics, Agricultural Statistics, Biological and Social Sciences, as well as individuals preparing for competitive examinations such as ISS, IES, SSS, A.S.R.B., States PSCs, NET, and IAS. This book is also beneficial for faculty members of the Department of Statistics at Indian Universities. With 33 years of teaching experience under his belt, the author has prepared this book to cater to the needs of U.G., P.G., and Ph.D. students from a variety of disciplines in Agriculture, Agril. Engg., and Agril Statistics.The book is composed of 12 chapters, with the first five focusing on Multivariate Analysis, and the subsequent four delving into Multivariate Regression Analysis. The tenth chapter deals with Multicollinearity, while the eleventh chapter covers Sampling Distributions of Partial & Multiple Correlation. Lastly, the twelfth chapter provides an overview of Elements of Stochastic Processes. Each chapter includes three types of questions: True/False, Fill in the Blanks, and Multiple Choice, along with their corresponding Key Answers.

The book is the product of 30 years of teaching experience by U.G., P.G. and Ph.D. students in various disciplines of Agriculture, Agril. Engg. and Agril Statistics at J.N.K.V.V., Jabalpur. Nine chapters make up the book, with the first two chapters focusing on Point Estimation, the third on Interval estimation, the fourth and fifth on Test of Hypothesis, the sixth on Sequential statistics, the seventh on Decision theory, the eighth on Linear estimation, and the ninth on Theory of ordered statistics.

The book is intended to provide an understanding of the fundamental principles and practices of biostatistics. It has been written with the aim of offering a comprehensive insight into the basic concepts of this field, making it accessible, easy to read, and relevant to both students and practitioners of biostatistics. The book covers topics such as the design of clinical trials and epidemiological studies, data collection, research methods, clinical measurement, sample size calculations, and various study designs. As a result, it serves as a comprehensive handbook of biostatistics for students and researchers in agriculture, veterinary medicine, life sciences, medicine, public health, biological sciences, and social sciences. The book has been written to provide readers with a clear understanding of the concepts and methods of biostatistics, making it an essential resource for anyone who needs to apply statistical methods in their work.

This book aspires to impart an appreciation of fundamental biostatistics principles and practices. It endeavors to present a thorough insight into the essential concepts of biostatistics, which are simple, accessible, and pertinent to both students and practitioners in the field. The book delves into the planning and execution of clinical trials and epidemiological studies, covering data collection, research methods, clinical measurement, and sample size determination, as well as calculations for various study designs. This makes it an indispensable handbook for students and researchers in agriculture, veterinary, life sciences, medicine, public health, biological, and social sciences.

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.Cs, 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.