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Transformation and Weighting in Regression, Carroll, Raymond J.


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Автор: Carroll, Raymond J.
Название:  Transformation and Weighting in Regression
ISBN: 9780412014215
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0412014211
Обложка/Формат: Hardback
Страницы: 260
Вес: 0.47 кг.
Дата издания: 01.08.1988
Серия: Chapman & hall/crc monographs on statistics and applied probability
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз


Transformation and Weighting in Regression

Автор: Carroll, Raymond J. , Ruppert, David
Название: Transformation and Weighting in Regression
ISBN: 0367403374 ISBN-13(EAN): 9780367403379
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to many problems across a range of disciplines, including pharmacokinetics, econometrics, biochemical assays, and fisheries research.

While the main focus of the book in on data transformation and weighting, it also draws upon ideas from diverse fields such as influence diagnostics, robustness, bootstrapping, nonparametric data smoothing, quasi-likelihood methods, errors-in-variables, and random coefficients. The authors discuss the computation of estimates and give numerous examples using real data. The book also includes an extensive treatment of estimating variance functions in regression.

Weighted Approximation with Varying Weight

Автор: Vilmos Totik
Название: Weighted Approximation with Varying Weight
ISBN: 354057705X ISBN-13(EAN): 9783540577058
Издательство: Springer
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Цена: 3487.00 р.
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Описание: This monograph supplies a new construction for approximating a logarithmic potential with a discrete one. The applications described relate to fast decreasing polynomials, the asymptotic behaviour of orthogonal polynomials and multipoint Pade approximations.

Practical Tools for Designing and Weighting Survey Samples

Автор: Valliant
Название: Practical Tools for Designing and Weighting Survey Samples
ISBN: 331993631X ISBN-13(EAN): 9783319936314
Издательство: Springer
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Цена: 11179.00 р.
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Описание: 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.

Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias

Автор: Devin Caughey, Adam J. Berinskey, Sara Chatfield,
Название: Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias
ISBN: 1108794157 ISBN-13(EAN): 9781108794152
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: Nonresponse and other sources of bias are endemic features of public opinion surveys. We elaborate a general workflow of weighting-based survey inference, and describe in detail how this can be applied to the analysis of historical and contemporary opinion polls.

Handbook of matching and weighting adjustments for causal inference

Название: Handbook of matching and weighting adjustments for causal inference
ISBN: 0367609525 ISBN-13(EAN): 9780367609528
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Practical Tools for Designing and Weighting Survey Samples

Автор: Richard Valliant; Jill A. Dever; Frauke Kreuter
Название: Practical Tools for Designing and Weighting Survey Samples
ISBN: 3030066983 ISBN-13(EAN): 9783030066987
Издательство: Springer
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Цена: 8384.00 р.
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Описание: 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, and weight survey samples.The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages.Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition:• Details on new functions in the PracTools package• Additional machine learning methods to form weighting classes• New coverage of nonlinear optimization algorithms for sample allocation• Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors• A new chapter on nonprobability sampling• Additional examples, exercises, and updated references throughoutRichard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in N?rnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal<

Machine scheduling to minimize weighted completion times.

Автор: Nicolо Gusmeroli
Название: Machine scheduling to minimize weighted completion times.
ISBN: 3319775278 ISBN-13(EAN): 9783319775272
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This work reviews the most important results regarding the use of the ГЋВ±-point in Scheduling Theory. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines.

A New Concept for Tuning Design Weights in Survey Sampling

Автор: Sarjinder Singh
Название: A New Concept for Tuning Design Weights in Survey Sampling
ISBN: 0081005946 ISBN-13(EAN): 9780081005941
Издательство: Elsevier Science
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Цена: 17517.00 р.
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Описание:

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.

3-D Spinors, Spin-Weighted Functions and their Applications

Автор: Gerardo F. Torres del Castillo
Название: 3-D Spinors, Spin-Weighted Functions and their Applications
ISBN: 1461264162 ISBN-13(EAN): 9781461264163
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book on the theory of three-dimensional spinors and their applications fills an important gap in the literature. From the reviews:"Gathers much of what can be done with 3-D spinors in an easy-to-read, self-contained form designed for applications that will supplement many available spinor treatments.

System and Measurements

Автор: Yong Sang
Название: System and Measurements
ISBN: 3110624370 ISBN-13(EAN): 9783110624373
Издательство: Walter de Gruyter
Цена: 12822.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides the basic concepts and fundamental principles of dynamic systems including experimental methods, calibration, signal conditioning, data acquisition and processing as well as the results presentation. How to select suitable sensors to measure is also introduced. It is an essential reference to students, lecturers, professionals and any interested lay readers in measurement technology.

Survey weights

Автор: Valliant, Richard Dever, Jill A.
Название: Survey weights
ISBN: 1597182605 ISBN-13(EAN): 9781597182607
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared towards 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.

Rankings and Preferences

Автор: Joaquim Pinto da Costa
Название: Rankings and Preferences
ISBN: 3662483432 ISBN-13(EAN): 9783662483435
Издательство: Springer
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Цена: 6986.00 р.
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Описание: In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.


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