Statistical Inference: Theory of Estimation

Manoj Kumar Srivastava , Abdul Hamid Khan , Namita Srivastava

ISBN 10: 812034930X / ISBN 13: 9788120349308
Usado / Paperback / Cantidad: 0
Disponible en otras librerías
Ver todos  los ejemplares de este libro

Sobre el libro

Lamentablemente este ejemplar en específico ya no está disponible. A continuación, le mostramos una lista de copias similares.

Descripción:

Softcover Book, Condition: New. 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. N° de ref. de la librería

Sobre este título:

Sinopsis: 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 FEATURESProvides clarifications for a number of steps in the proof of theorems and related resultsIncludes 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.

About the Author: Manoj Kumar Srivastava, Ph.D., is Associate Professor, Department of Statistics, Institute of Social Sciences, Dr. B.R. Ambedkar University (formerly Agra University), Agra. With a teaching experience of nearly two decades, Dr. Srivastava has published/presented several research publications in reputed national and international journals/conferences. He is a member of Indian Society of Agricultural Statistics, New Delhi; Assam Statistical Review, Dibrugarh University, Assam; Calcutta Statistical Association; Indian Bayesian Society, Indian Chapter of International Society for Bayesian Analysis (ISBA) and Advances and Application in Statistics, Allahabad University, India.Abdul Hamid Khan, Ph.D., is former Dean, Faculty of Science and Chairman, Department of Statistics and Operations Research, Aligarh Muslim University (AMU), Aligarh. Dr. Khan has a teaching experience of more than 40 years at AMU. Earlier he has served at Al Fateh University, Libya, Al Yarmouk University, Jordan as Associate Professor and King Saud University, Riyadh, Kingdom of Saudi Arabia as Professor of Statistics. Dr. Khan has published more than 75 papers in reputed journals. An active member of many Statistical Societies in India and abroad, he is also associated with Universities/Colleges/PSC/UPSC etc. in different capacities.Namita Srivastava, Ph.D., is Associate Professor, Department of Statistics, St. John's College, Agra. With a teaching experience of nearly two decades, Dr. Srivastava has presented many research papers in conferences/seminars. She is a member of a number of professional organizations like Indian Society of Agricultural Statistics, New Delhi, Assam Statistical Review, Dibrugarh University, Assam, Calcutta Statistical Association, Indian Bayesian Society, Indian Chapter of International Society for Bayesian Analysis (ISBA).

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Statistical Inference: Theory of Estimation
Encuadernación: Paperback
Condición del libro: New

Los mejores resultados en AbeBooks

1.

SRIVASTAVA, MANOJ KUMAR , KHAN, ABDUL HAMID , SRIVASTAVA, NAMITA
Editorial: PHI Learning, New Delhi (2014)
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Soft cover Cantidad: > 20
Librería
Books in my Basket
(New Delhi, India)
Valoración
[?]

Descripción PHI Learning, New Delhi, 2014. Soft cover. Estado de conservación: New. 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. Page Extent: 808. Nº de ref. de la librería 266546

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 12,18
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,10
De India a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Manoj Kumar Srivastava,Abdul Hamid Khan,Namita Srivastava
Editorial: PHI Learning (2014)
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Softcover Primera edición Cantidad: > 20
Librería
BookVistas
(New Delhi, DELHI, India)
Valoración
[?]

Descripción PHI Learning, 2014. Softcover. Estado de conservación: 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. Nº de ref. de la librería 105853

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 15,22
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,99
De India a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Manoj Kumar Srivastava,Abdul Hamid Khan,Namita Srivastava
Editorial: PHI Learning (2014)
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Softcover Primera edición Cantidad: > 20
Librería
A - Z Books
(New Delhi, DELHI, India)
Valoración
[?]

Descripción PHI Learning, 2014. Softcover. Estado de conservación: 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 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. Nº de ref. de la librería 105853

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 15,22
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,99
De India a Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

4.

Manoj Kumar Srivastava, Abdul Hamid Khan & Namita Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Softcover Primera edición Cantidad: > 20
Edición internacional
Librería
LowPriceBookDeals
(Wilmington, DE, Estados Unidos de America)
Valoración
[?]

Descripción Softcover. Estado de conservación: New. 1st edition. Brand NEW, Paperback International Edition. Black & White or color, Cover and ISBN are same 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. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Nº de ref. de la librería LPBDIN41513599

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 15,59
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,36
A Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

5.

Manoj Kumar Srivastava , Abdul Hamid Khan , Namita Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Paperback Cantidad: 5
Edición internacional
Librería
PRIORITY BOOKS
(springfield, VA, Estados Unidos de America)
Valoración
[?]

Descripción Paperback. Estado de conservación: 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. Nº de ref. de la librería 375901

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 16,68
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

6.

Manoj Kumar Srivastava , Abdul Hamid Khan , Namita Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Paperback Cantidad: 1
Edición internacional
Librería
Nick Book House
(fresno, CA, Estados Unidos de America)
Valoración
[?]

Descripción Paperback. Estado de conservación: 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. Nº de ref. de la librería 24692

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 17,18
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

7.

Shrivastava & Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Cantidad: 1
Edición internacional
Librería
Bookshub
(Karol Bagh, India)
Valoración
[?]

Descripción Estado de conservación: New. New. International edition. Different ISBN and Cover image but contents are same as US edition. Perfect condition. Customer satisfaction our priority. Nº de ref. de la librería ABE-FEB-126544

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 22,94
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De India a Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

8.

Shrivastava & Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Cantidad: 1
Edición internacional
Librería
Bookshub
(Karol Bagh, India)
Valoración
[?]

Descripción Estado de conservación: New. New. International edition. Different ISBN and Cover image but contents are same as US edition. Perfect condition. Customer satisfaction our priority. Nº de ref. de la librería ABE-BOOK-126544

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 22,94
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De India a Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

9.

Shrivastava & Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Cantidad: 1
Edición internacional
Librería
EBOOKSTORE2010
(New Delhi, ND, India)
Valoración
[?]

Descripción Estado de conservación: Brand New. New. SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Customer Satisfaction guaranteed!!. Nº de ref. de la librería SHUB126544

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 22,98
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De India a Estados Unidos de America
Destinos, gastos y plazos de envío
Edición internacional
Edición internacional

10.

Shrivastava & Srivastava
ISBN 10: 812034930X ISBN 13: 9788120349308
Nuevos Cantidad: 1
Edición internacional
Librería
Captainsdistribution
(Aventura, FL, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. *INTERNAITONAL EDITION BOOK *INTERNATIONAL EDITION, DIFFERENT ISBN and COVER IMAGE.Upgrade to Priority for faster shipping. Paper is of cheaper Quality as well as book materials/also book may be black and white or colour ,may have differences to us edition example chapter order and problems ect, no supplemental access card or online content may be available . condition. English language. Delivery take 3-7 business days. Customer satisfaction our priority. Nº de ref. de la librería freshhabuku12190

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 21,05
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,55
A Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras 5 copia(s) de este libro

Ver todos los resultados de su búsqueda