Statistics For Real Life Sample Surveys

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Statistics For Real Life Sample Surveys

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Author : Sergey Dorofeev
language : en
Publisher: Cambridge University Press
Release Date : 2006-07-27

Statistics For Real Life Sample Surveys written by Sergey Dorofeev and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-27 with Social Science categories.

Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions.

Statistics For Real Life Sample Surveys

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Author : Sergey Dorofeev
language : en
Publisher:
Release Date : 2006

Statistics For Real Life Sample Surveys written by Sergey Dorofeev and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Statistics For Real Life Sample Surveys

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Author : Sergey Dorofeev
language : en
Publisher: Cambridge University Press
Release Date : 2006-07-27

Statistics For Real Life Sample Surveys written by Sergey Dorofeev and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-27 with Social Science categories.

Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions.

Handbook For Fisheries Socio Economic Sample Survey

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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2018-11-08

Handbook For Fisheries Socio Economic Sample Survey written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Nature categories.

This document provides tested and standardized tools to collect the data needed for a socio-economic assessment of a fishery, including sampling design, quality checks and how to transform inputs into statistics.

Theory Of Sample Surveys

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Author : Arjun K. Gupta
language : en
Publisher: World Scientific
Release Date : 2011

Theory Of Sample Surveys written by Arjun K. Gupta and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Mathematics categories.

Sample surveys is the most important branch of statistics. Without sample surveys there is no data, and without data there is no statistics. This book is the culmination of the lecture notes developed by the authors. The approach is theoretical in the sense that it gives mathematical proofs of the results in sample surveys. Intended as a textbook for a one-semester course for undergraduate seniors or first-year graduate students, a prerequisite basic knowledge of algebra, calculus, and statistical theory is required to master the techniques described in this book.

Maximum Likelihood Estimation For Sample Surveys

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Author : Raymond L. Chambers
language : en
Publisher: CRC Press
Release Date : 2012-05-02

Maximum Likelihood Estimation For Sample Surveys written by Raymond L. Chambers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-02 with Mathematics categories.

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.

Research Methods Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2015-01-31

Research Methods Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-31 with Science categories.

Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.

Scholarly Publishing And Research Methods Across Disciplines

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Author : Wang, Viktor
language : en
Publisher: IGI Global
Release Date : 2018-11-09

Scholarly Publishing And Research Methods Across Disciplines written by Wang, Viktor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Reference categories.

There is no singular ‘best’ method of research. The differing nature of various research endeavors warrant multiple ways of generating knowledge, sharing knowledge, and more importantly, avoiding errors. More recently, the dichotomy between quantitative and qualitative approaches has begun to dissolve as the integrated approach of mixed methods gains popularity. Scholarly Publishing and Research Methods Across Disciplines is a collection of innovative findings on the methods and applications of research in scholarly publishing, ranging from the analyzation of mixed methods and qualitative/quantitative research, to Dewey’s scientific method and more. Highlighting a range of topics including higher education, digital divide, and model development, this publication applies a cross-disciplinary viewpoint that will appeal to researchers, graduate students, academicians, librarians, scholars, and industry-leading experts around the globe seeking an understanding of the limitations and strengths in research techniques.

Making Sense Of Statistical Methods In Social Research

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Author : Keming Yang
language : en
Publisher: SAGE
Release Date : 2010-03-25

Making Sense Of Statistical Methods In Social Research written by Keming Yang and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-25 with Social Science categories.

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.

Modern Survey Analysis

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Author : Walter R. Paczkowski
language : en
Publisher: Springer Nature
Release Date : 2022-09-11

Modern Survey Analysis written by Walter R. Paczkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-11 with Business & Economics categories.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.