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Drawing Inferences From Self-selected Samples, 


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Название:  Drawing Inferences From Self-selected Samples
ISBN: 9781138967960
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1138967963
Обложка/Формат: Paperback
Страницы: 178
Вес: 0.33 кг.
Дата издания: 08.07.2016
Язык: English
Размер: 229 x 152 x 10
Читательская аудитория: Professional & vocational
Ключевые слова: Psychological methodology, EDUCATION / General,EDUCATION / Testing & Measurement
Основная тема: Psychological Methods & Statistics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This volume serves as a guide to research in the area of drawing inferences from self-selected samples. Of interest to prof audience of policy makers, survey researchrs, pollsters, market researchrs, statisticians, demographers, economists & sociologists


Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Case Studies and Causal Inference

Автор: Rohlfing
Название: Case Studies and Causal Inference
ISBN: 0230240704 ISBN-13(EAN): 9780230240704
Издательство: Springer
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Цена: 10366.00 р.
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Описание: A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.

Probability Theory and Statistical Inference: Empirical Modeling with Observational Data

Автор: Aris Spanos
Название: Probability Theory and Statistical Inference: Empirical Modeling with Observational Data
ISBN: 1316636372 ISBN-13(EAN): 9781316636374
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: Doubt over the trustworthiness of published empirical results is often a result of statistical mis-specification or invalid probabilistic assumptions. This course in empirical research methods enables the specification and validation of statistical models, facilitating their informed implementation and giving rise to trustworthy evidence.

Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Statistical Modeling and Inference for Social Science

Автор: Gailmard Sean
Название: Statistical Modeling and Inference for Social Science
ISBN: 1316622223 ISBN-13(EAN): 9781316622223
Издательство: Cambridge Academ
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Цена: 4118.00 р.
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Описание: Written specifically for graduate students and practitioners beginning social science research, this textbook introduces the essential statistical tools, models and theories that make up the social scientist`s toolkit. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard demonstrates how social scientists assess relationships between variables.

Applied Statistical Inference With

Автор: Lesik
Название: Applied Statistical Inference With
ISBN: 1498779980 ISBN-13(EAN): 9781498779982
Издательство: Taylor&Francis
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Цена: 21437.00 р.
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Описание: Covers material typically presented in an intermediate statistics course at the undergraduate level and a first course in applied statistics at the graduate level. Topics include basic statistical inference, regression, and ANOVA. Advanced topics include non-parametric statistics, logistic regression, and goodness-of-fit tests.

Topics on Methodological and Applied Statistical Inference

Автор: Di Battista
Название: Topics on Methodological and Applied Statistical Inference
ISBN: 3319440926 ISBN-13(EAN): 9783319440927
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.

Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.

Автор: Stephen L. Morgan, Christopher Winship
Название: Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.
ISBN: 1107065070 ISBN-13(EAN): 9781107065079
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Concise Introduction to Statistical Inference

Автор: Thijssen Jacco
Название: Concise Introduction to Statistical Inference
ISBN: 1498755771 ISBN-13(EAN): 9781498755771
Издательство: Taylor&Francis
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Цена: 10258.00 р.
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Описание:

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses.

The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers.

Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.


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