Fundamentals Of Applied Statistics By Sc Gupta Amp Vk Kapoor
Review of Fundamentals of Applied Statistics by S. C. Gupta and V. K. Kapoor
Fundamentals of Applied Statistics is a book written by S. C. Gupta and V. K. Kapoor, two renowned Indian statisticians. The book covers various topics in applied statistics, such as probability theory, sampling theory, estimation, testing of hypotheses, analysis of variance, regression analysis, design of experiments, non-parametric methods, and multivariate analysis.
Fundamentals Of Applied Statistics By Sc Gupta Amp Vk Kapoor
The book is intended for undergraduate and postgraduate students of statistics, mathematics, economics, engineering, and other disciplines that require the use of statistical methods. The book is also useful for researchers and practitioners who want to refresh their knowledge of applied statistics or learn new techniques.
The book has been revised and updated several times since its first edition in 1994[^1^]. The latest edition was published in 2007[^2^] and has 708 pages. The book is divided into 25 chapters, each with a clear introduction, examples, exercises, and references. The book also has appendices that provide tables of statistical distributions and other useful information.
The book is well-written and organized, with a logical flow of topics and concepts. The book explains the theory and methods of applied statistics in a simple and lucid manner, with ample illustrations and numerical examples. The book also provides practical applications of statistical techniques to real-life problems from various fields of study.
The book is widely used as a textbook and a reference book by students and teachers of statistics in India and abroad. The book has received positive feedback from readers and reviewers for its comprehensive coverage, clarity of exposition, accuracy of content, and relevance to current trends in applied statistics.
In conclusion, Fundamentals of Applied Statistics by S. C. Gupta and V. K. Kapoor is a valuable resource for anyone who wants to learn or teach applied statistics. The book covers the essential topics and methods of applied statistics in a thorough and accessible way, with examples and exercises that enhance understanding and application.
One of the strengths of Fundamentals of Applied Statistics by S. C. Gupta and V. K. Kapoor is that it covers both classical and modern methods of applied statistics. The book includes topics such as bootstrap methods, jackknife methods, robust estimation, Bayesian inference, and Monte Carlo methods, which are widely used in contemporary statistical practice.
The book also provides a balanced treatment of both parametric and non-parametric methods of applied statistics. The book explains the advantages and disadvantages of each method, and when to use them appropriately. The book also compares and contrasts different methods of analysis for the same data set, and shows how to interpret and report the results.
Another strength of Fundamentals of Applied Statistics by S. C. Gupta and V. K. Kapoor is that it has a large number of solved examples and unsolved exercises that help the readers to apply the concepts and techniques learned from the book. The examples and exercises are drawn from various fields of study, such as biology, agriculture, medicine, engineering, economics, psychology, sociology, and education. The book also has solutions to selected exercises at the end of each chapter.
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