A New Concept for Tuning Design Weights in Survey Sampling

• Author : Sarjinder Singh,Stephen A. Sedory,Maria Del Mar Rueda,Antonio Arcos,Raghunath Arnab
• Publisher : Academic Press
• Release : 17 November 2015

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques. Explains how to calibrate design weights in survey sampling Discusses how Jackknifing is needed in design weights in survey sampling

• Author : Raghunath Arnab
• Publisher : Academic Press
• Release : 08 March 2017

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying

• Author : José Roberto Díaz-Reza,Jorge Luis García-Alcaraz,Valeria Martínez-Loya
• Publisher : Springer
• Release : 01 October 2018

This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics

• Author : Sarjinder Singh
• Publisher : Springer Science & Business Media
• Release : 16 April 2021

Advanced Sampling Theory with Applications: How Michael 'selected' Amy is a comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

• Author : Richard Valliant,Jill A. Dever,Frauke Kreuter
• Publisher : Springer
• Release : 12 October 2018

The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select,

• Author : Anonim
• Publisher : Unknown Publisher
• Release : 16 April 1974

• Author : Giuseppe Iarossi
• Publisher : World Bank Publications
• Release : 01 January 2006

A practical how-to guide on all the steps involved with survey implementation, this volume covers survey management, questionnaire design, sampling, respondent's psychology and survey participation, and data management. A comprehensive and practical reference for those who both use and produce survey data.

• Author : Ray Chambers,Robert Clark
• Publisher : Oxford University Press
• Release : 12 January 2012

This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.

• Author : William DeCoursey
• Publisher : Elsevier
• Release : 14 May 2003

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read

• Author : Richard Valliant,Jill A. Dever
• Publisher : Unknown Publisher
• Release : 16 April 2021

Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a

• Author : David L. Vannette,Jon A. Krosnick
• Publisher : Springer
• Release : 21 December 2017

This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as well as the potential opportunities presented by new approaches to survey research, including in the development of policy. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new

• Author : S. Singh
• Publisher : Springer Science & Business Media
• Release : 07 January 2013

This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine,

• Author : Peter Bruce,Andrew Bruce
• Publisher : "O'Reilly Media, Inc."
• Release : 10 May 2017

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’

• Author : Jiawei Han,Jian Pei,Micheline Kamber
• Publisher : Elsevier
• Release : 09 June 2011

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing

• Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Division of Behavioral and Social Sciences and Education,Committee on National Statistics
• Publisher : National Academies Press
• Release : 02 July 2018

The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with