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An Outline of Statistical Theory (Vol 2) | AM Gun, MK Gupta & B Das Gupta - World Press

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MCB-1310

Special Price ₹370.00 Regular Price ₹420.00

  • Binding: Paperback

  • Pages: 619

  • Language: English

  • ISBN-10: 978-8187567813

  • ISBN-13: 978-8187567813

DESCRIPTION:

 This two-volume work on statistical theory is meant to acquaint the reader with the mainstream of present day statistical thinking. Te mathematical prerequisites are a knowledge of undergraduate calculus and an introduction to matrix algebra. While the aim of the authors is mainly to provide the reader with a systematic treatment of statistical theory student at both the undergraduate and post-graduate levels find the book suitable for major parts of their syllabi. The volume of the book is devoted to the broad area of statistical inference and is thus the natural complement of the first, which is concerned with probability distributions. It starts with the concepts of sufficiency and completeness. The various forms which the problem of statistical inference may assume [viz point estimation, hypothesis testing and interval estimation] and the various set-ups under which it may be attacked (including the sequential, the multivariate, the non-parametric and the large-sample) are then taken up one by one. The main principles of description theory, that provides a unified treatment of statistical inference, are also presented. The two volumes jointly serve to acquaint the reader with what may be called the mainstream of present-day statistical thinking. Although primarily designed to meet this needs of the general reader having the requisite mathematical equipment (viz. A knowledge of undergraduate calculus and introductory matrix algebra), the book should also prove useful to undergraduate Honours and post-graduate students of statistics for major parts of their syllabi. The treatment is rather exhaustive and sophisticated throughout! In the new edition, Volume Two has undergone a fairly dairly through revision. More exmaples and exercises have been included. For the benefit of students and teachers alike, we have now included answers of hints to solutions of books.You can buy this book from mycoursebook.in at best price

This two-volume work on statistical theory is meant to acquaint the reader with the
mainstream of present-day statistical thinking.
The mathematical prerequisites are a knowledge of undergraduate catculus and an
introduction to matrix algebra. While the aim of the authors is mainly to provide the
reader with a systematic treatment of statistical theory, students at both the undergraduate
and post-graduate levels find the book suitable for major parts of their syllabi.
This volume of the book is devoted to the broad area of statistical inference and is thus
the natural complement of the first, which is concerned with probability distributions.
It starts with the concepts of sufficiency and completeness. The various forms which
the problem of statistical inference may assume (viz point estimation, hypothesis-testing
and interval estimation) and the various set-ups under which it may be attacked
(including the sequential, the multivariate, the non-parametric and the large-sample) are
then taken up one by one. The main principles of decision theory, that provides a unified
treatment of statistical inference, are also presented.
The two volumes jointly serve to acquaint the reader with what may be called the
mainstream of present-day statistical thinking. Although primarily designed to meet the
needs of the generel reader having the requisite mathematical equipment (viz. a
knowledge of undergraduate calculas and introductory matrix algebra), the book should
also prove useful to undergraduate Honours and post-graduate students of statistics
for major parts of their syllabli.
The treatment is rather exhaustive and sophisticated throughout.
In the new edition, Volume Two has undergone a fairly thorough revision. More examples
and exercises have been included. For the benefit of students and teachers alike, we
have now included answers or hints to solutions of some of the exercise problems.
"The book has been set out on a wide canvas, providing an adequate background for
understanding modern statistical theory. The style is lucid and comprehensive. .(it has)
many merits, (though) it cannot, of course, meet the expectations of everybody.- A.
Bhattacharyya (in CSA Bulletin) on Volume One, Second Edition.
 
About the Author
 
A. M. Gun, M. K. Gupta and B. Dasgupta were colleagues in Presidency College, Kolkata
for ibout two decades. AMG continued to be in Presidency except for short stints at
the ISI, Kolkata and the NEHU, Shillong: he retired from the post of Professor and
Head of the Statistics Department in the College in 1996. MKG later moved to Kalyani
University as Professor and Head of the Department of Statistics; he retired in 1997.
BDG also became Professor and Head of the Department of Statistics in Presidency
College but was subsequently made a DDPI and then served as Principal in several
Government Colleges in West Bengal ; he went on retirement in 1994. However, even
after retirement, all three have remained active in different professional assignments.
(AMG was a Guest Professor in St. Xavier's College, Koikata and for some time held
a visiting position in Visva Bharati; MKG is a Founder Fellow of the West Bengal
Academy od Science & Technology and held a visiting position at IlM, Kolkata for several
terms. BDG held a visiting position in Burdwan University.)

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