
Randomized Response
Theory and Techniques
CHAUDHURI(Author)
CRC Press
1st Edition
Will be published approx. on 30. September 1987
Book
Hardback
184 pages
978-0-8247-7785-2 (ISBN)
Description
Offering a concise account of the most appropriate and efficient procedures for analyzing data from queries dealing with sensitive and confidential issues- including the first book-length treatment of infinite and finite population set-ups - this volume begins with the simplest problems, complete with their properties and solutions, and proceeds to incrementally more difficult topics. Randomized Response is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.
Reviews / Votes
"Statisticians, operations researchers, pollsters, marketing researchers, sociologists, political scientists, economists, and graduate students will benefit from this wonderful book."-Journal of Statistical Computation and Simulation
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
362 gr
ISBN-13
978-0-8247-7785-2 (9780824777852)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
10/2020
1st Edition
CRC Press
€304.99
Available for download

E-Book
10/2020
1st Edition
CRC Press
€304.99
Available for download
Person
Arijit Chaudhuri is a Professor serving in the Computer Science Unit of Applied Statitsics Surveys and Computing Division at the Indian Statisitical Institute in Calcutta. Rahul Mukerjee is a faculty member in the Divison of Theoretical Statistics and Mathematics at the Indian Statistical Institure in Calcultta.
Content
1 Introduction to Randomized Response: The Warner Model, 2 The Unrelated-Question Model, 3 Polychotomous Population and Multiattribute Situations, 4 Techniques for Quantitative Characters, 5 Efficient Estimation and Protection of Privacy, 6 Miscellaneous Topics on RR Techniques, 7 RR in a Finite Population Setting: A Unified Approach; Sampling with Varying Probabilities, 8 Application of RRT and Concluding Remarks, 9 Case Studies