SURVEY SAMPLING

SURVEY SAMPLING covers theoretical principles with step-by-step detailed mathematical derivations. The methodology adopted elucidates sampling schemes like simple random sampling, probability proportional to size sampling, systematic, stratified, cluster, two-stage and two-phase sampling. Ratio and...

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Bibliographic Details
Main Author: Bansal, Archana (Author)
Format: Book
Published: United Kingdom Alpha Science International Ltd 2017
©2017
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Online Access:Click Here to View Status and Holdings.
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020 # # |a 9781783322787 
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100 1 # |a Bansal, Archana  |e author 
245 1 0 |a SURVEY SAMPLING  |c Archana Bansal 
264 # 1 |a United Kingdom  |b Alpha Science International Ltd  |c 2017 
264 # 1 |c ©2017 
300 # # |a 1 volume (various pages)  |c 25 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references and index 
520 # # |a SURVEY SAMPLING covers theoretical principles with step-by-step detailed mathematical derivations. The methodology adopted elucidates sampling schemes like simple random sampling, probability proportional to size sampling, systematic, stratified, cluster, two-stage and two-phase sampling. Ratio and regression methods are discussed under super population model.This is a comprehensive textbook covering all the major topics taught in Survey Sampling at the undergraduate and postgraduate levels in universities. The problems connected with the planning and conduct of the sample surveys such as, drafting of schedules and questionnaries, methods of collecting data, estimation of population parameters, determination of sample size etc. are discussed in detail.KEY FEATURES* Emphasis has been given on theory which provides self-study material for student.* Number of exercises with data from various fields with illustrations have been incorporated to demonstrate the method of analysis.* Unsolved problems have been included for the practice of the reader to understand concepts and procedures.* Subject matter has been arranged in a systematic presentation.* Provides extensive treatment/explanation on non-sampling errors.* Difficult concepts have been explained in an easy and simple manner. 
650 # 0 |a Sampling (Statistics) 
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