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Ssm Elementary Survey Sampling, Scheaffer/Mendenhall/Ott/Gerow


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Цена: 76020.00T
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Автор: Scheaffer/Mendenhall/Ott/Gerow
Название:  Ssm Elementary Survey Sampling
ISBN: 9781111988425
Издательство: Cengage Learning
Классификация:
ISBN-10: 1111988420
Обложка/Формат: Paperback
Страницы: 83
Вес: 0.24 кг.
Дата издания: 26.05.2011
Язык: English
Издание: 7 revised edition
Иллюстрации: Figures; tables, black and white; line drawings, black and white
Размер: 27.18 x 21.08 x 0.76 cm
Читательская аудитория: General (us: trade)
Основная тема: Statistics
Рейтинг:
Поставляется из: Англии

Topics in Survey Sampling

Автор: Parimal Mukhopadhyay
Название: Topics in Survey Sampling
ISBN: 0387951083 ISBN-13(EAN): 9780387951089
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc.

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
Рейтинг:
Цена: 19010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
Рейтинг:
Цена: 116780.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


Ssm Workshop STATS Discovery W

Автор: Rossman Allan J.
Название: Ssm Workshop STATS Discovery W
ISBN: 047054726X ISBN-13(EAN): 9780470547267
Издательство: Wiley
Рейтинг:
Цена: 47470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Brase
Название: Understnd Stats Ssm 7Ed
ISBN: 0618205586 ISBN-13(EAN): 9780618205585
Издательство: Cengage Learning
Рейтинг:
Цена: 74970.00 T
Наличие на складе: Нет в наличии.
Описание: Rosie, sixteen, beautiful and vivacious, is in love with Watt Bevan, the manager of the famous Mainwaring Pottery. But Watt, unaware of her feelings, is becoming increasingly drawn into problems facing pottery owner Llinos Mainwaring, whose romantic marriage to Joe, the American Indian who stole her heart all those years ago, now seems in trouble.

Автор: Brase/Brase
Название: Ssm Understandable Statistics
ISBN: 1337288756 ISBN-13(EAN): 9781337288750
Издательство: Cengage Learning
Рейтинг:
Цена: 55960.00 T
Наличие на складе: Невозможна поставка.
Описание: Related to ideas of the great, the awe-inspiring and the overpowering, the sublime has been debated for centuries amongst writers, artists, philosophers and theorists and has become a complex yet crucial concept in many disciplines. Offering historical overviews and explanations this remarkably clear study is essential reading for students of literature, critical and cultural theory.

Ssm Introduction Statistics/Data Analysis

Автор: Peck
Название: Ssm Introduction Statistics/Data Analysis
ISBN: 1337794171 ISBN-13(EAN): 9781337794176
Издательство: Cengage Learning
Рейтинг:
Цена: 51730.00 T
Наличие на складе: Нет в наличии.
Описание: pacote do Courseware consiste em duas publicacoes, VeriSMTM - Foundation Courseware e VeriSM - Foundation Study Guide. Este material de treinamento abrange o plano de estudos para a qualificacao da Fundacao VeriSM . O treinamento pode ser entregue em dois dias. Este material didatico e credenciado para preparar o aluno para a certificacao da VeriSM Foundation. O VeriSM Foundation consiste em duas partes: VeriSM Essentials e VeriSM Plus, cada uma cobrindo um dia de treinamento.Os alunos que ja possuem um certificado de Gerenciamento de Servicos (TI) podem se beneficiar do conhecimento que ja possuem. Eles sao o publico-alvo de apenas um treinamento do VeriSM Plus. Ao serem aprovados no exame VeriSM Plus, recebem o certificado VeriSM Foundation.Provedores de treinamento que desejam oferecer um treinamento de um dia sobre principios de gerenciamento de servicos podem decidir oferecer apenas o treinamento VeriSM Essentials. Os alunos que forem aprovados no exame VeriSM Essentials receberao o certificado VeriSM Essentials. Se eles passarem no exame VeriSM Plus mais tarde, receberao automaticamente o certificado VeriSM Foundation.O "courseware" abrange os seguintes topicos:A organizacao do servico (Essentials)Cultura de servico (Essentials)Pessoas e estrutura organizacional (Essentials)O modelo VeriSM (ambos)Praticas Progressivas (Plus)Tecnologias Inovadoras (Plus)O VeriSM e uma abordagem holistica e orientada aos negocios para o Gerenciamento de Servicos, que ajuda a entender o panorama crescente das melhores praticas e como integra-las para oferecer valor ao consumidor.E uma evolucao no pensamento em Gerenciamento de Servicos e oferece uma abordagem atualizada, incluindo as mais recentes praticas e desenvolvimentos tecnologicos, para ajudar as organizacoes a transformar seus negocios para a nova realidade da era digital.O VeriSM e um gerenciamento orientado a valor, evolutivo, responsivo e integrado.VeriSM e uma marca registrada e propriedade da IFDC, a Fundacao Internacional de Competencias Digitais.

Автор: Peck
Название: Ssm Statistics Companion Support Introductory Statistics
ISBN: 0357043561 ISBN-13(EAN): 9780357043561
Издательство: Cengage Learning
Рейтинг:
Цена: 30610.00 T
Наличие на складе: Нет в наличии.
Описание: In Madison`s Militia, Carl Bogus illuminates precisely why James Madison and the First Congress included the right to bear arms in the Bill of Rights-and the reason will surprise readers. This gripping and wide-ranging history overturns the conventional wisdom about the Second Amendment-showing that the right to bear arms was not about protecting liberty but about preserving slavery.

Und Bas Stat Brf Ssm 4Ed

Автор: Brase
Название: Und Bas Stat Brf Ssm 4Ed
ISBN: 0618632298 ISBN-13(EAN): 9780618632299
Издательство: Cengage Learning
Рейтинг:
Цена: 57010.00 T
Наличие на складе: Нет в наличии.
Описание: This helpful learning aid provides solutions to the odd numbered questions in the main text.

Ssm Understanding Basic Statistics

Автор: Brase/Brase
Название: Ssm Understanding Basic Statistics
ISBN: 1337558109 ISBN-13(EAN): 9781337558105
Издательство: Cengage Learning
Рейтинг:
Цена: 66520.00 T
Наличие на складе: Нет в наличии.
Описание:

Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.


Survey Sampling Methods

Автор: Laishram Ladusingh
Название: Survey Sampling Methods
ISBN: 9387472418 ISBN-13(EAN): 9789387472419
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 14790.00 T
Наличие на складе: Невозможна поставка.
Описание: Presents a blend of theoretical and practical aspects of sample surveys, highlighting the context and applicability of various sampling methods. This book discusses the fundamentals of sample survey, provides the basics of the unified sampling approach, inculcates equal and unequal probability sampling concepts; and introduces complex survey designs.

Experimental Methods in Survey Research: Technique s that Combine Random Sampling with Random Assignm ent

Автор: Lavrakas
Название: Experimental Methods in Survey Research: Technique s that Combine Random Sampling with Random Assignm ent
ISBN: 1119083745 ISBN-13(EAN): 9781119083740
Издательство: Wiley
Рейтинг:
Цена: 101320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing

This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.

Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:

  • Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity
  • Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications
  • Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation --featuring contributions from across a variety of disciplines in the social and behavioral sciences
  • Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study
  • Includes more than 20 types of original experiments carried out within probability sample surveys
  • Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method

Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of Illinois-Chicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University.

Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan.

Courtney Kennedy, PhD, is Director of Survey Research at Pew Research Center in Washington, DC.

Allyson L. Holbrook, PhD, is Professor of Public Administration and Psychology at the University of Illinois-Chicago.

Edith D. de Leeuw, PhD, is Professor of Survey Methodology in the Department of Methodology and Statistics at Utrecht University.

Brady T. West, PhD, is Research Associate Professor in the Survey Research Center at the University of Michigan-Ann Arbor.



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