Statistical Methods for Field and Laboratory Studies in Behavioral Ecology, Pardo Scott, Pardo Michael
Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete Название: Handbook of spatial statistics ISBN: 1420072870 ISBN-13(EAN): 9781420072877 Издательство: Taylor&Francis Рейтинг: Цена: 103610.00 T Наличие на складе: Есть Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.
Автор: Krijnen, Wim P. , Wit, Ernst C. Название: Computational and statistical methods for chemical engineering ISBN: 1032013249 ISBN-13(EAN): 9781032013244 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Нет в наличии. Описание: Before the data revolution, most books focused either on mathematical modeling of chemical processes or exploratory chemometrics. This book aims to combine these two approaches and provide aspiring chemical engineers a single, comprehensive account of computational and statistical methods. Each chapter is accompanied by extensive exercises.
Автор: Christopher H Schmid Название: Handbook Of Meta-Analysis ISBN: 1498703984 ISBN-13(EAN): 9781498703987 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.
Автор: Whitmore, Nathan Название: R for Conservation and Development Applications ISBN: 0367205491 ISBN-13(EAN): 9780367205492 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is bridging the gap for organisations and individuals who need to learn and use R in a part-time professional context, providing a set of skills to understand the usefulness of graphing, mapping, and modelling in R, using relatable examples throughout.
Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson Название: Handbook of Measurement Error Models ISBN: 1138106402 ISBN-13(EAN): 9781138106406 Издательство: Taylor&Francis Рейтинг: Цена: 219470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.
Автор: DelSole, Timothy, Название: Statistical methods for climate scientists / ISBN: 1108472419 ISBN-13(EAN): 9781108472418 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.
Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun Название: Handbook of Computational Social Science, Volume 2 ISBN: 1032077700 ISBN-13(EAN): 9781032077703 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Автор: Pardo, Scott (bayer Healthcare, Whippany, New Jersey, Usa) Pardo, Michael (cornell University) Название: Statistical methods for field and laboratory studies in behavioral ecology ISBN: 1138743364 ISBN-13(EAN): 9781138743366 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical methods are ubiquitous in behavioural ecology research. This text will provide some elementary material, with enough theory so that the reader will be able to understand the uses, advantages, and limitations of those methods as they apply to studying animal behaviour in the wild.
Автор: Peter D. Hoff Название: A First Course in Bayesian Statistical Methods ISBN: 0387922997 ISBN-13(EAN): 9780387922997 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A self-contained introduction to probability, exchangeability and Bayes` rule provides a theoretical understanding of the applied material. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Автор: Grimm Название: Statistical Applications for the Behavioral Sciences (WSE) ISBN: 0471509825 ISBN-13(EAN): 9780471509820 Издательство: Wiley Рейтинг: Цена: 235790.00 T Наличие на складе: Поставка под заказ. Описание: Explains the conceptual foundations of statistical analyses (particularly inferential statistics), emphasizing the research context. Teaches students how to "work the formulasa a by presenting cleary defined steps for dealing with statistical problems.
Автор: Arnold Название: Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics ISBN: 3319937723 ISBN-13(EAN): 9783319937724 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book was written to serve as a graduate-level textbook for special topics classes in mathematics, statistics, and economics, to introduce these topics to other researchers, and for use in short courses. It is an introduction to the theory of majorization and related notions, and contains detailed material on economic applications of majorization and the Lorenz order, investigating the theoretical aspects of these two interrelated orderings. Revising and expanding on an earlier monograph, Majorization and the Lorenz Order: A Brief Introduction, the authors provide a straightforward development and explanation of majorization concepts, addressing historical development of the topics, and providing up-to-date coverage of families of Lorenz curves. The exposition of multivariate Lorenz orderings sets it apart from existing treatments of these topics. Mathematicians, theoretical statisticians, economists, and other social scientists who already recognize the utility of the Lorenz order in income inequality contexts and arenas will find the book useful for its sound development of relevant concepts rigorously linked to both the majorization literature and the even more extensive body of research on economic applications. Barry C. Arnold, PhD, is Distinguished Professor in the Statistics Department at the University of California, Riverside. He is a Fellow of the American Statistical Society, the American Association for the Advancement of Science, and the Institute of Mathematical Statistics, and is an elected member of the International Statistical Institute. He is the author of more than two hundred publications and eight books. Jos Mar a Sarabia, PhD, is Professor of Statistics and Quantitative Methods in Business and Economics in the Department of Economics at the University of Cantabria, Spain. He is author of more than one hundred and fifty publications and ten books and is an associate editor of several journals including TEST, Communications in Statistics, and Journal of Statistical Distributions and Applications.
Автор: Kraska-MIller, M. Название: Nonparametric Statistics for Social and Behavioral Sciences ISBN: 0367379104 ISBN-13(EAN): 9780367379100 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM's SPSS software.
This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text:
Explains a conceptual framework for each statistical procedure
Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure
Details SPSS paths for conducting various analyses
Discusses the interpretations of statistical results and conclusions of the research
With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.
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