Modern Survey Sampling

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A01=Arijit Chaudhuri
Adaptive Sampling
adaptive sampling methods
advanced sampling design strategies
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Age Group_Uncategorized
Ai ?i
Ai Πi
analytical survey techniques
ANOVA Table
Author_Arijit Chaudhuri
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Category1=Non-Fiction
Category=JMA
Category=JMB
Category=PBT
Circular Systematic Sampling
COP=United States
Delivery_Delivery within 10-20 working days
Deriving Bayes Estimators
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Ei Πi
Empirical Bayes Estimators
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eq_non-fiction
eq_society-politics
Estimation By Network Sampling And Estimationby Adaptive Sampling
Exposure To Sampling
Fay Herriot Model
Finite Population
Finite Population Total
Homogeneous Linear Estimator
HTE
Hth Stratum
Interval Estimator
Language_English
Modeling
Multi-stage Sampling
Multistage Sampling
Normed Size Measures
PA=Available
Pre-assigned Probability
prediction approach statistics
Price_€100 and above
PS=Active
Random Numbers And Their Uses In Simple Randomsampling (Srs)
Sampling Design
Sampling Scheme
small area estimation
Small Area Estimation Problem
softlaunch
Super-population Modeling
super-population models
survey methodology
Unbiased Estimator
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Yi ?i
Yi Wi
Yi Πi
Yr Pr

Product details

  • ISBN 9781466572607
  • Weight: 576g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Jun 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions.

The text covers current research output in a student-friendly manner with attractive illustrations. It introduces sampling and discusses how to select a sample for which a selection-probability is specified to prescribe its performance characteristics. The author then explains how to examine samples with varying probabilities to derive profits. He then examines how to use partial segments to make reasonable guesses about a sample’s behavior and assess the elements of discrepancies.

Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.

Chaudhuri, Arijit

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