Introductory Statistics for the Behavioral Science s, Seventh Edition, Welkowitz
Автор: Krickeberg Klaus, Van Trong Pham, Thi My Hanh Pham Название: Epidemiology: Key to Public Health. 2 ed. ISBN: 3030163679 ISBN-13(EAN): 9783030163679 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: ?This unique textbook presents the field of modern epidemiology as a whole; it does not restrict itself to particular aspects. It stresses the fundamental ideas and their role in any situation of epidemiologic practice. Its structure is largely determined by didactic viewpoints.Epidemiology is the art of defining and investigating the influence of factors on the health of populations. Hence the book starts by sketching the role of epidemiology in public health. It then treats the epidemiology of many particular diseases; mathematical modelling of epidemics and immunity; health information systems; statistical methods and sample surveys; clinical epidemiology including clinical trials; nutritional, environmental, social, and genetic epidemiology; and the habitual tools of epidemiologic studies. The book also reexamines the basic difference between the epidemiology of infectious diseases and that of non-infectious ones.The organization of the topics by didactic aspects makes the book ideal for teaching. All examples and case studies are situated in a single country, namely Vietnam; this provides a particularly vivid picture of the role of epidemiology in shaping the health of a population. It can easily be adapted to other developing or transitioning countries.This volume is well suited for courses on epidemiology and public health at the upper undergraduate and graduate levels, while its specific examples make it appropriate for those who teach these fields in developing or emerging countries. New to this edition, in addition to minor revisions of almost all chapters:• Updated data about infectious and non-infectious diseases• An expanded discussion of genetic epidemiology• A new chapter, based on recent research of the authors, on how to build a coherent system of Public Health by using the insights provided by this volume.
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong Название: Mathematics for Machine Learning ISBN: 110845514X ISBN-13(EAN): 9781108455145 Издательство: Cambridge Academ Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Автор: Privitera, Gregory J. Название: Statistics for the behavioral sciences ISBN: 1544362811 ISBN-13(EAN): 9781544362816 Издательство: Sage Publications Рейтинг: Цена: 25027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Fourth Edition of Statistics for the Behavioral Sciences by award-winning author Gregory Privitera aims to inspire students to use statistics properly to better understand the world around them.
Автор: Gates, Kathleen, Название: Intensive longitudinal analysis of human processes / ISBN: 1482230593 ISBN-13(EAN): 9781482230598 Издательство: Taylor&Francis Рейтинг: Цена: 14545.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. The primary audience are students and researchers in psychometrics, quantitative psychology, psychophysiology and neurocognition. This book can be used for both teaching and research.
Автор: Kimmo Vehkalahti , Brian S. Everitt Название: Multivariate Analysis for the Behavioral Sciences, Second Edition ISBN: 0815385153 ISBN-13(EAN): 9780815385158 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.
Автор: Marston, Louise Название: Introductory statistics for health and nursing using spss ISBN: 1847874835 ISBN-13(EAN): 9781847874832 Издательство: Sage Publications Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Specifically written for students in the health sciences, this book covers simple statistical concepts and then shows how to analyse data using SPSS.
Автор: Chris Brooks Название: Introductory Econometrics for Finance ISBN: 110843682X ISBN-13(EAN): 9781108436823 Издательство: Cambridge Academ Рейтинг: Цена: 8394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The only econometrics textbook that requires no prior knowledge of the subject, aimed specifically at students of finance, accountancy, or banking. It includes a broad range of techniques, detailed case studies, and explanations of how to implement the techniques and understand the results from the most popular software packages.
Автор: Mann, Prem S. Название: Introductory statistics ISBN: 0470505834 ISBN-13(EAN): 9780470505830 Издательство: Wiley Рейтинг: Цена: 28827.00 р. Наличие на складе: Поставка под заказ.
Автор: McKillup Название: Statistics Explained ISBN: 0521183286 ISBN-13(EAN): 9780521183284 Издательство: Cambridge Academ Рейтинг: Цена: 5702.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uses a clear and encouraging reader-friendly approach to help students improve their confidence in designing experiments and choosing appropriate statistical tests. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. End-of-chapter exercises, new to this edition, allow self-testing.
Автор: Ware Название: Introductory Statistics ISBN: 0805836519 ISBN-13(EAN): 9780805836516 Издательство: Taylor&Francis Рейтинг: Цена: 44405.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following.
Conceptual Focus - The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures.
Problems and Cases - Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output.
Continuity of Examples - A master data set containing nearly all of the data used in the book's examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text.
Companion Website - A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises.
Field Tested - The manuscript has been field tested for three years at two leading institutions.
Автор: Verzani Название: Using R for Introductory Statistics, Second Edition ISBN: 1466590734 ISBN-13(EAN): 9781466590731 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.
See What's New in the Second Edition:
Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.
Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.
Use of knitr package makes code easier to read and therefore easier to reason about.
Additional information on computer-intensive approaches motivates the traditional approach.
Updated examples and data make the information current and topical.
The book has an accompanying package, UsingR, available from CRAN, R's repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.
The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
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