Partial Order Concepts in Applied Sciences, Marco Fattore; Rainer Br?ggemann

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 61770.00 T
Наличие на складе: Поставка под заказ.
Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Автор: Pituch Keenan A
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836662 ISBN-13(EAN): 9780415836661
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Автор: Xiao–Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
Название: Applied Missing Data Analysis in the Health Sciences
ISBN: 0470523816 ISBN-13(EAN): 9780470523810
Издательство: Wiley
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Цена: 103430.00 T
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Описание: This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods.

Автор: Pituch
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836654 ISBN-13(EAN): 9780415836654
Издательство: Taylor&Francis
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Цена: 234790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Автор: Bevington; Robinson
Название: Data Reduction And Error Analysis For The Physical Sciences
ISBN: 0071199268 ISBN-13(EAN): 9780071199261
Издательство: McGraw-Hill
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Цена: 49180.00 T
Наличие на складе: Поставка под заказ.
Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
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Цена: 73490.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

Автор: Darmofal
Название: Spatial Analysis for the Social Sciences
ISBN: 0521716381 ISBN-13(EAN): 9780521716383
Издательство: Cambridge Academ
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Цена: 30610.00 T
Наличие на складе: Поставка под заказ.
Описание: Spatial Analysis for the Social Sciences is for researchers across the social sciences who want to model and explain spatial interactions between the actors they study. The book is very user-friendly and demonstrates a variety of analytical approaches that applied researchers can use in their work.

Автор: Simon Bastow Patrick Dunleavy &
Название: Impact of the Social Sciences
ISBN: 1446275108 ISBN-13(EAN): 9781446275108
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a timely and expansive study on the subject of the impact that academic social science has across a broad societal canvas, including on government and public policy, commerce and business, and the third sector and public engagement.

Автор: Box-Steffensmeier
Название: Time Series Analysis for the Social Sciences
ISBN: 0521691559 ISBN-13(EAN): 9780521691550
Издательство: Cambridge Academ
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Цена: 30610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.