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Manoj Kumar Srivastava , Abdul Hamid Khan , Namita Srivastava

ISBN 10: 812034930X ISBN 13: 9788120349308

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From: PRIORITY BOOKS (Springfield, VA, U.S.A.)

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Item Description: Paperback. Book Condition: New. Softcover Book, New Condition, Fast Shipping. Ready in Stock. 1st Edition. [Please Read Carefully Before Buying], This Is An International Edition. Printed In Black and White. 808 Pages, Book Cover And ISBN No May Be Different From US Edition. Restricted Sales Disclaimer Wordings Not For Sales In USA And Canada May Be Printed On The Cover Of The Book. Standard Shipping 7-14 Business Days. Expedited Shiping 4-8 Business Days. ***WE DO NOT ENTERTAIN BULK ORDERS.*** The Books May Be Ship From Overseas For Inventory Purpose. Bookseller Inventory # 375901

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Manoj Kumar Srivastava , Abdul Hamid Khan , Namita Srivastava

ISBN 10: 812034930X ISBN 13: 9788120349308

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Item Description: Paperback. Book Condition: New. New, Softcover International Edition, Printed in Black and White, Only USPS Media mail Shipping ONLY, Different ISBN, Same Content As US edition, Book Cover may be Different, in English Language. Bookseller Inventory # 24692

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Manoj Kumar Srivastava, Abdul Hamid Khan & Namita Srivastava

ISBN 10: 812034930X ISBN 13: 9788120349308

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Item Description: Softcover. Book Condition: New. 1st edition. Brand NEW, Paperback International Edition. Black & White or color, Cover and ISBN may be different but similar contents as US editions. Standard delivery takes 5-9 business days by USPS with tracking number. Choose expedited shipping for superfast delivery 2-4 business days by DHL/FEDEX. We also ship to PO Box addresses but by Standard delivery. International Edition Textbooks may bear a label -Not for sale in the U.S. or Canada- etc. printed only to discourage U.S. students from obtaining an affordable copy. Legal to use despite any disclaimer on cover as per US court. No access code or CD included unless specified. In some instances, the international textbooks may have different exercises at the end of the chapters. Printed in English. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Bookseller Inventory # LPBDIN41513599

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Manoj Kumar Srivastava,Abdul Hamid Khan,Namita Srivastava

Published by PHI Learning (2014)

ISBN 10: 812034930X ISBN 13: 9788120349308

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From: BookVistas (New Delhi, DELHI, India)

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Item Description: PHI Learning, 2014. Softcover. Book Condition: New. First edition. Description: This book is sequel to a book Statistical Inference: Testing of Hypotheses (published by PHI Learning). Intended for the postgraduate students of statistics, it introduces the problem of estimation in the light of foundations laid down by Sir R.A. Fisher (1922) and follows both classical and Bayesian approaches to solve these problems. The book starts with discussing the growing levels of data summarization to reach maximal summarization and connects it with sufficient and minimal sufficient statistics. The book gives a complete account of theorems and results on uniformly minimum variance unbiased estimators (UMVUE)?including famous Rao and Blackwell theorem to suggest an improved estimator based on a sufficient statistic and Lehmann-Scheffe theorem to give an UMVUE. It discusses Cramer-Rao and Bhattacharyya variance lower bounds for regular models, by introducing Fishers information and Chapman, Robbins and Kiefer variance lower bounds for Pitman models. Besides, the book introduces different methods of estimation including famous method of maximum likelihood and discusses large sample properties such as consistency, consistent asymptotic normality (CAN) and best asymptotic normality (BAN) of different estimators. Separate chapters are devoted for finding Pitman estimator, among equivariant estimators, for location and scale models, by exploiting symmetry structure, present in the model, and Bayes, Empirical Bayes, Hierarchical Bayes estimators in different statistical models. Systematic exposition of the theory and results in different statistical situations and models, is one of the several attractions of the presentation. Each chapter is concluded with several solved examples, in a number of statistical models, augmented with exposition of theorems and results. KEY FEATURES ? Provides clarifications for a number of steps in the proof of theorems and related results., ? Includes numerous solved examples to improve analytical insight on the subject by illustrating the application of theorems and results. ? Incorporates Chapter-end exercises to review student?s comprehension of the subject. ? Discusses detailed theory on data summarization, unbiased estimation with large sample properties, Bayes and Minimax estimation, separately, in different chapters. Contents: Preface 1. INTRODUCTION 2. DATA SUMMARIZATION AND PRINCIPLE OF SUFFICIENCY 3. UNBIASED ESTIMATION 4. INFORMATION INEQUALITY 5. ASYMPTOTIC THEORY AND CONSISTENCY 6. METHODS OF ESTIMATION 7. PRINCIPLE OF EQUIVARIANCE 8. BAYES AND MINIMAX ESTIMATION 9. CONFIDENCE INTERVAL ESTIMATION Index Printed Pages: 808. Bookseller Inventory # 105853

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Manoj Kumar Srivastava,Abdul Hamid Khan,Namita Srivastava

Published by PHI Learning (2014)

ISBN 10: 812034930X ISBN 13: 9788120349308

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From: A - Z Books (New Delhi, DELHI, India)

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Item Description: PHI Learning, 2014. Softcover. Book Condition: New. First edition. Description: This book is sequel to a book Statistical Inference: Testing of Hypotheses (published by PHI Learning). Intended for the postgraduate students of statistics, it introduces the problem of estimation in the light of foundations laid down by Sir R.A. Fisher (1922) and follows both classical and Bayesian approaches to solve these problems. The book starts with discussing the growing levels of data summarization to reach maximal summarization and connects it with sufficient and minimal sufficient statistics. The book gives a complete account of theorems and results on uniformly minimum variance unbiased estimators (UMVUE)â"including famous Rao and Blackwell theorem to suggest an improved estimator based on a sufficient statistic and Lehmann-Scheffe theorem to give an UMVUE. It discusses Cramer-Rao and Bhattacharyya variance lower bounds for regular models, by introducing Fishers information and Chapman, Robbins and Kiefer variance lower bounds for Pitman models. Besides, the book introduces different methods of estimation including famous method of maximum likelihood and discusses large sample properties such as consistency, consistent asymptotic normality (CAN) and best asymptotic normality (BAN) of different estimators. Separate chapters are devoted for finding Pitman estimator, among equivariant estimators, for location and scale models, by exploiting symmetry structure, present in the model, and Bayes, Empirical Bayes, Hierarchical Bayes estimators in different statistical models. Systematic exposition of the theory and results in different statistical situations and models, is one of the several attractions of the presentation. Each chapter is concluded with several solved examples, in a number of statistical models, augmented with exposition of theorems and results. KEY FEATURES ⢠Provides clarifications for a number of steps in the proof of theorems and related results., ⢠Includes numerous solved examples to improve analytical insight on the subject by illustrating the application of theorems and results. ⢠Incorporates Chapter-end exercises to review studentâs comprehension of the subject. ⢠Discusses detailed theory on data summarization, unbiased estimation with large sample properties, Bayes and Minimax estimation, separately, in different chapters. Contents: Preface 1. INTRODUCTION 2. DATA SUMMARIZATION AND PRINCIPLE OF SUFFICIENCY 3. UNBIASED ESTIMATION 4. INFORMATION INEQUALITY 5. ASYMPTOTIC THEORY AND CONSISTENCY 6. METHODS OF ESTIMATION 7. PRINCIPLE OF EQUIVARIANCE 8. BAYES AND MINIMAX ESTIMATION 9. CONFIDENCE INTERVAL ESTIMATION Index Printed Pages: 808. Bookseller Inventory # 105853

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Manoj Kumar Srivastava; Abdul Hamid Khan; Namita Srivastava

Published by Prentice-Hall of India Pvt.Ltd (2014)

ISBN 10: 812034930X ISBN 13: 9788120349308

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From: Irish Booksellers (Rumford, ME, U.S.A.)

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Item Description: Prentice-Hall of India Pvt.Ltd, 2014. Paperback. Book Condition: New. book. Bookseller Inventory # M812034930X

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Results (1 - 6) of 6