The Method of Multiple Hypotheses PDF Download

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The Method of Multiple Hypotheses

The Method of Multiple Hypotheses PDF Author: Charles S. Reichardt
Publisher: Routledge
ISBN: 1000461025
Category : Psychology
Languages : en
Pages : 162

Book Description
This book illustrates the method of multiple hypotheses with detailed examples and describes the limitations facing all methods (including the method of multiple hypotheses) as the means for constructing knowledge about nature. Author Charles Reichardt explains the method of multiple hypotheses using a range of real-world applications involving the causes of crime, traffic fatalities, and home field advantage in sports. The book describes the benefits of utilizing multiple hypotheses and the inherent limitations within which all methods must operate because all conclusions about nature must remain tentative and forever subject to revision. Nonetheless, the book reveals how the method of multiple hypotheses can produce strong inferences even in the face of the inevitable uncertainties of knowledge. The author also explicates some of the most foundational ideas in philosophy of science including the notions of the underdetermination of theory by data, the Duhem-Quine thesis, and the theory-ladenness of observation. This book will be important reading for advanced undergraduates, graduates, and professional researchers across the social, behavioral, and natural sciences wanting to understand this method and how to apply it to their field of interest.

The Method of Multiple Hypotheses

The Method of Multiple Hypotheses PDF Author: Charles S. Reichardt
Publisher: Routledge
ISBN: 1000461025
Category : Psychology
Languages : en
Pages : 162

Book Description
This book illustrates the method of multiple hypotheses with detailed examples and describes the limitations facing all methods (including the method of multiple hypotheses) as the means for constructing knowledge about nature. Author Charles Reichardt explains the method of multiple hypotheses using a range of real-world applications involving the causes of crime, traffic fatalities, and home field advantage in sports. The book describes the benefits of utilizing multiple hypotheses and the inherent limitations within which all methods must operate because all conclusions about nature must remain tentative and forever subject to revision. Nonetheless, the book reveals how the method of multiple hypotheses can produce strong inferences even in the face of the inevitable uncertainties of knowledge. The author also explicates some of the most foundational ideas in philosophy of science including the notions of the underdetermination of theory by data, the Duhem-Quine thesis, and the theory-ladenness of observation. This book will be important reading for advanced undergraduates, graduates, and professional researchers across the social, behavioral, and natural sciences wanting to understand this method and how to apply it to their field of interest.

Multiple Hypotheses

Multiple Hypotheses PDF Author: Thomas Chrowder Chamberlin
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 12

Book Description


The Method of Multiple Working Hyupotheses

The Method of Multiple Working Hyupotheses PDF Author: Thomas Chrowder Chamberlin
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 12

Book Description


Multiple Hypotheses Testing in the Linear Regression Model with Applications to Economics and Finance

Multiple Hypotheses Testing in the Linear Regression Model with Applications to Economics and Finance PDF Author: Raimund Alt
Publisher: Cuvillier Verlag
ISBN: 3865373380
Category :
Languages : en
Pages : 141

Book Description


Complex Population Dynamics

Complex Population Dynamics PDF Author: Peter Turchin
Publisher: Princeton University Press
ISBN: 1400847281
Category : Science
Languages : en
Pages : 471

Book Description
Why do organisms become extremely abundant one year and then seem to disappear a few years later? Why do population outbreaks in particular species happen more or less regularly in certain locations, but only irregularly (or never at all) in other locations? Complex population dynamics have fascinated biologists for decades. By bringing together mathematical models, statistical analyses, and field experiments, this book offers a comprehensive new synthesis of the theory of population oscillations. Peter Turchin first reviews the conceptual tools that ecologists use to investigate population oscillations, introducing population modeling and the statistical analysis of time series data. He then provides an in-depth discussion of several case studies--including the larch budmoth, southern pine beetle, red grouse, voles and lemmings, snowshoe hare, and ungulates--to develop a new analysis of the mechanisms that drive population oscillations in nature. Through such work, the author argues, ecologists can develop general laws of population dynamics that will help turn ecology into a truly quantitative and predictive science. Complex Population Dynamics integrates theoretical and empirical studies into a major new synthesis of current knowledge about population dynamics. It is also a pioneering work that sets the course for ecology's future as a predictive science.

Encyclopedia of Systems Biology

Encyclopedia of Systems Biology PDF Author: Werner Dubitzky
Publisher: Springer
ISBN: 9781441998644
Category : Science
Languages : en
Pages : 2367

Book Description
Systems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole. Systems biology involves the development and application of systems theory concepts for the study of complex biological systems through iteration over mathematical modeling, computational simulation and biological experimentation. Systems biology could be viewed as a tool to increase our understanding of biological systems, to develop more directed experiments, and to allow accurate predictions. The Encyclopedia of Systems Biology is conceived as a comprehensive reference work covering all aspects of systems biology, in particular the investigation of living matter involving a tight coupling of biological experimentation, mathematical modeling and computational analysis and simulation. The main goal of the Encyclopedia is to provide a complete reference of established knowledge in systems biology – a ‘one-stop shop’ for someone seeking information on key concepts of systems biology. As a result, the Encyclopedia comprises a broad range of topics relevant in the context of systems biology. The audience targeted by the Encyclopedia includes researchers, developers, teachers, students and practitioners who are interested or working in the field of systems biology. Keeping in mind the varying needs of the potential readership, we have structured and presented the content in a way that is accessible to readers from wide range of backgrounds. In contrast to encyclopedic online resources, which often rely on the general public to author their content, a key consideration in the development of the Encyclopedia of Systems Biology was to have subject matter experts define the concepts and subjects of systems biology.

Testing Multiple Hypotheses with Common Effect Direction Using the Closure Method

Testing Multiple Hypotheses with Common Effect Direction Using the Closure Method PDF Author: Richard M. Bittman
Publisher:
ISBN:
Category :
Languages : en
Pages : 38

Book Description


Studies for Students

Studies for Students PDF Author: Thomas Chrowder Chamberlin
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 12

Book Description


Multiple Hypothesis Testing

Multiple Hypothesis Testing PDF Author: Houston Nash Gilbert
Publisher:
ISBN:
Category :
Languages : en
Pages : 372

Book Description


Multiple Comparisons Using R

Multiple Comparisons Using R PDF Author: Frank Bretz
Publisher: CRC Press
ISBN: 1420010905
Category : Mathematics
Languages : en
Pages : 202

Book Description
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes’ test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey’s all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa. See Dr. Bretz discuss the book.