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Encyclopedias The Subtle Body: An Encyclopedia of Your Energetic Anatomy
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Encyclopedias Skew Fields - Theory of General Division Rings (Encyclopedia of Mathematics and its Applications) by P. M. Cohn
Encyclopedias Books and Beyond - The Greenwood Encyclopedia of New American Reading
Nonfiction Advanced Fluid Dynamics by Hyoung Woo Oh
Nonfiction Consolation of Philosophy by Boethius
Nonfiction Overview of Bohmian Mechanics
Nonfiction Digital Systems Design by Ramaswamy Palaniappan
Nonfiction Modern Geography by Marion I. Newbigin
Encyclopedias Encyclopedia of Microfluidics and Nanofluidics [Repost]
Encyclopedias Encyclopedia of Complexity and Systems Science [Repost]
Encyclopedias The Encyclopedia of Applied Animal Behaviour and Welfare
Encyclopedias Space - A Visual Encyclopedia
Abnormal Psychology - An Integrative Approach, 6th Edition
Advanced Social Psychology - The State of the Science
Nonfiction Lectures on Stochastic Control and Nonlinear Filtering
Nonfiction Physics by Cope, Smith, Tower, Turton
Encyclopedias Encyclopedia of Knowledge Management, Second Edition
Encyclopedias Encyclopedia of India (4 Volume Set) [Repost]
Encyclopedias The MMA Encyclopedia (repost)
Nonfiction An Introduction to Nonlinearity in Control Systems
Encyclopedias Skew Fields - Theory of General Division Rings (Encyclopedia of Mathematics and its Applications) by P. M. Cohn
Encyclopedias Books and Beyond - The Greenwood Encyclopedia of New American Reading
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Nonfiction Introduction to Variance Estimation (Statistics for Social and Behavioral Sciences)
Posted on 2010-03-15
|
Publisher: Springer; 2nd ed. edition
Language: english ISBN: 038732917X Paperback: 449 pages Data: February 28, 2007 Format: PDF Description: We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound decision making. Now in its second edition, Introduction to Variance Estimation has for more than twenty years provided the definitive account of the theory and methods for correct precision calculations and inference, including examples of modern, complex surveys in which the methods have been used successfully. The book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. It will appeal to survey statisticians and other scientists engaged in the planning and conduct of survey research, and to those analyzing survey data and charged with extracting compelling information from such data. It will appeal to graduate students and university faculty who are focused on the development of new theory and methods and on the evaluation of alternative methods. Software developers concerned with creating the computer tools necessary to enable sound decision-making will find it essential. Prerequisites include knowledge of the theory and methods of mathematical statistics and graduate coursework in survey statistics. Practical experience with real surveys is a plus and may be traded off against a portion of the requirement for graduate coursework. This second edition reflects shifts in the theory and practice of sample surveys that have occurred since the content of the first edition solidified in the early 1980
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