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Author : Karl Pearson
Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.:/5 (318 download)
Download or read book Mathematical Contributions to the Theory of Evolution written by Karl Pearson and published by . This book was released on 1904 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Royal Society (Great Britain)
Publisher :
ISBN 13 :
Total Pages : 570 pages
Book Rating : 4.X/5 (2 download)
Download or read book Proceedings of the Royal Society of London written by Royal Society (Great Britain) and published by . This book was released on 1902 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.X/5 (2 download)
Download or read book Proceedings of the Royal Society of London written by and published by . This book was released on 1913 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paul Patrick Gordon Bateson
Publisher : Cambridge University Press
ISBN 13 : 9780521272070
Total Pages : 484 pages
Book Rating : 4.2/5 (72 download)
Download or read book Mate Choice written by Paul Patrick Gordon Bateson and published by Cambridge University Press. This book was released on 1983-04-28 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Twenty-one specially-commissioned articles provide a clear picture of the current state of thinking about mate choice. Brings together modern thinking on the various functions of mate choice and its role in evolution.
Author : Daniel Sorensen
Publisher : Springer Science & Business Media
ISBN 13 : 0387954406
Total Pages : 745 pages
Book Rating : 4.3/5 (879 download)
Download or read book Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics written by Daniel Sorensen and published by Springer Science & Business Media. This book was released on 2007-03-22 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.
Author : Brian F. Manly
Publisher : Springer Science & Business Media
ISBN 13 : 9400948409
Total Pages : 497 pages
Book Rating : 4.4/5 (9 download)
Download or read book The Statistics of Natural Selection on Animal Populations written by Brian F. Manly and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the concluding chapter of his famous book on the theory of evolution by natural selection, Charles Darwin (1859) remarked that: When the views entertained in this volume on the origin of species, or when analogous views are generally admitted, we can dimly foresee that there will be a considerable revolution in natural history. This proved, of course, to be completely correct. At present there is a great divergence of opinion about the general importance of natural selection in the evolutionary process. Nevertheless, biologists are, on the whole, united in their acceptance of the potential power of selection in changing populations. Given this situation, it is not surprising to find that many attempts to detect the effects of natural selection have been made since the time of Darwin. This area of study has been called ecological genetics. It involves the collection of data of various kinds and, in many cases, the development of special methods for analysing these data. This book is a summary of methods for data analysis, concentrating on those that are applicable to animal populations, particularly wild populations.
Author : Daniel Sorensen
Publisher : Springer Nature
ISBN 13 : 3031358511
Total Pages : 696 pages
Book Rating : 4.0/5 (313 download)
Download or read book Statistical Learning in Genetics written by Daniel Sorensen and published by Springer Nature. This book was released on 2023-09-19 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease. Similar developments have taken place in animal and plant breeding, where genetic marker information is combined with production traits. An important task for the statistical geneticist is to adapt, construct and implement models that can extract information from these large-scale data. An initial step is to understand the methodology that underlies the probability models and to learn the modern computer-intensive methods required for fitting these models. The objective of this book, suitable for readers who wish to develop analytic skills to perform genomic research, is to provide guidance to take this first step. This book is addressed to numerate biologists who typically lack the formal mathematical background of the professional statistician. For this reason, considerably more detail in explanations and derivations is offered. It is written in a concise style and examples are used profusely. A large proportion of the examples involve programming with the open-source package R. The R code needed to solve the exercises is provided. The MarkDown interface allows the students to implement the code on their own computer, contributing to a better understanding of the underlying theory. Part I presents methods of inference based on likelihood and Bayesian methods, including computational techniques for fitting likelihood and Bayesian models. Part II discusses prediction for continuous and binary data using both frequentist and Bayesian approaches. Some of the models used for prediction are also used for gene discovery. The challenge is to find promising genes without incurring a large proportion of false positive results. Therefore, Part II includes a detour on False Discovery Rate assuming frequentist and Bayesian perspectives. The last chapter of Part II provides an overview of a selected number of non-parametric methods. Part III consists of exercises and their solutions. Daniel Sorensen holds PhD and DSc degrees from the University of Edinburgh and is an elected Fellow of the American Statistical Association. He was professor of Statistical Genetics at Aarhus University where, at present, he is professor emeritus.
Author : Raymond L. Chambers
Publisher : CRC Press
ISBN 13 : 1584886323
Total Pages : 393 pages
Book Rating : 4.5/5 (848 download)
Download or read book Maximum Likelihood Estimation for Sample Surveys written by Raymond L. Chambers and published by CRC Press. This book was released on 2012-05-02 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.
Author : Mike Allen
Publisher : SAGE Publications
ISBN 13 : 1483381455
Total Pages : 3827 pages
Book Rating : 4.4/5 (833 download)
Download or read book The SAGE Encyclopedia of Communication Research Methods written by Mike Allen and published by SAGE Publications. This book was released on 2017-01-15 with total page 3827 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version.
Author : Stevan J. Arnold
Publisher : Oxford University Press
ISBN 13 : 0192859382
Total Pages : 497 pages
Book Rating : 4.1/5 (928 download)
Download or read book Evolutionary Quantitative Genetics written by Stevan J. Arnold and published by Oxford University Press. This book was released on 2023-05-11 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution. It has become the dominant conceptual framework for interpreting the evolution of quantitative traits in terms of elementary forces (mutation, inheritance, selection, and drift). Despite this success, the relevance of EQG to many biological scenarios remains relatively unappreciated, with numerous fields yet to fully embrace its approach. Part of the reason for this lag is that conceptual advances in EQG have not yet been fully synthesized and made accessible to a wider academic audience. A comprehensive, accessible overview is therefore now timely, and Evolutionary Quantitative Genetics provides this much-needed synthesis. The central argument of the book is that an adaptive landscape concept can be used to understand both evolutionary process within lineages and the pattern of adaptive radiations. In particular, it provides a convincing argument that models with a moving adaptive peak carry us further than any other conceptual approach yet devised. Although additive theory holds center stage, the book mentions and references departures from additivity including non-Gaussian distributions of allelic effects, dominance, epistasis, maternal effects and phenotypic plasticity. This accessible, advanced textbook is aimed principally at students (from senior undergraduate to postgraduate) as well as practising scientists in the fields of evolutionary biology, ecology, physiology, functional morphology, developmental biology, comparative biology, paleontology, and beyond who are interested in how adaptive radiations are produced by evolutionary and ecological processes.
Author : Anatoly Ruvinsky
Publisher : CRC Press
ISBN 13 : 1420078879
Total Pages : 186 pages
Book Rating : 4.4/5 (2 download)
Download or read book Genetics and Randomness written by Anatoly Ruvinsky and published by CRC Press. This book was released on 2009-07-28 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes Randomness in Major Genetic Processes and EventsNo matter how far science advances, the proportion of what is knowable to what is random will remain unchanged, and attempts to ignore this critical threshold are futile at best. With the revolutionary explosion in genetic information discovery, it is crucially important to recognize the unde
Author :
Publisher :
ISBN 13 :
Total Pages : 1042 pages
Book Rating : 4.E/5 ( download)
Download or read book Science written by and published by . This book was released on 1901 with total page 1042 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Giovanni Squillero
Publisher : Springer
ISBN 13 : 3319558498
Total Pages : 912 pages
Book Rating : 4.3/5 (195 download)
Download or read book Applications of Evolutionary Computation written by Giovanni Squillero and published by Springer. This book was released on 2017-04-03 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
Author : Pierre Pontarotti
Publisher : Springer
ISBN 13 : 3319413244
Total Pages : 412 pages
Book Rating : 4.3/5 (194 download)
Download or read book Evolutionary Biology written by Pierre Pontarotti and published by Springer. This book was released on 2016-09-20 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected contributions to the 19th Evolutionary Biology Meeting, which took place in September 2015 in Marseille. It consists of 22 chapters, which are grouped in four sections: · Convergent Evolution · Evolution of Complex Traits · Concepts · Methods The annual Evolutionary Biology Meetings in Marseille serve to gather leading evolutionary biologists and other scientists using evolutionary biology concepts, e.g for medical research, to promote the exchange of ideas and to encourage interdisciplinary collaborations. Offering an up-to-date overview of recent findings in the field of evolutionary biology, this book is an invaluable source of information for scientists, teachers and advanced students.
Author :
Publisher :
ISBN 13 :
Total Pages : 538 pages
Book Rating : 4.:/5 (334 download)
Download or read book Biometrika written by and published by . This book was released on 1902 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Samir Okasha
Publisher : Clarendon Press
ISBN 13 : 0191533211
Total Pages : 288 pages
Book Rating : 4.1/5 (915 download)
Download or read book Evolution and the Levels of Selection written by Samir Okasha and published by Clarendon Press. This book was released on 2006-11-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does natural selection act primarily on individual organisms, on groups, on genes, or on whole species? Samir Okasha provides a comprehensive analysis of the debate in evolutionary biology over the levels of selection, focusing on conceptual, philosophical and foundational questions. A systematic framework is developed for thinking about natural selection acting at multiple levels of the biological hierarchy; the framework is then used to help resolve outstanding issues. Considerable attention is paid to the concept of causality as it relates to the levels of selection, in particular the idea that natural selection at one hierarchical level can have effects that 'filter' up or down to other levels. Unlike previous work in this area by philosophers of science, full account is taken of the recent biological literature on 'major evolutionary transitions' and the recent resurgence of interest in multi-level selection theory among biologists. Other biological topics discussed include Price's equation, kin and group selection, the gene's eye view, evolutionary game theory, outlaws and selfish genetic elements, species and clade selection, and the evolution of individuality. Philosophical topics discussed include reductionism and holism, causation and correlation, the nature of hierarchical organization, and realism and pluralism.
Author : Kenneth S Shultz
Publisher : Routledge
ISBN 13 : 1317970888
Total Pages : 419 pages
Book Rating : 4.3/5 (179 download)
Download or read book Measurement Theory in Action written by Kenneth S Shultz and published by Routledge. This book was released on 2013-11-20 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book helps readers apply testing and measurement theories. Featuring 22 self-standing modules, instructors can pick and choose the ones that are most appropriate for their course. Each module features an overview of a measurement issue and a step-by-step application of that theory. Best practices provide recommendations for ensuring the appropriate application of the theory. Practical questions help students assess their understanding of the topic while the examples allow them to apply the material using real data. Two cases in each module depict typical dilemmas faced when applying measurement theory followed by Questions to Ponder to encourage critical examination of the issues noted in the cases. Each module contains exercises some of which require no computer access while others involve the use of SPSS to solve the problem. The book’s website houses the accompanying data sets and more. The book also features suggested readings, a glossary of the key terms, and a continuing exercise that incorporates many of the steps in the development of a measure of typical performance. Updated throughout to reflect recent changes in the field, the new edition also features: --A new co-author, Michael Zickar, who updated the advanced topics and added the new module on generalizability theory (Module 22). -Expanded coverage of reliability (Modules 5 & 6) and exploratory and confirmatory factor analysis (Modules 18 & 19) to help readers interpret results presented in journal articles. -Expanded Web Resources, Instructors will now find: suggested answers to the book’s questions and exercises; detailed worked solutions to the exercises; and PowerPoint slides. Students and instructors can access the SPSS data sets; additional exercises; the glossary; and website references that are helpful in understanding psychometric concepts. Part 1 provides an introduction to measurement theory and specs for scaling and testing and a review of statistics. Part 2 then progresses through practical issues related to text reliability, validation, meta-analysis and bias. Part 3 reviews practical issues related to text construction such as the development of measures of maximal performance, CTT item analysis, test scoring, developing measures of typical performance, and issues related to response styles and guessing. The book concludes with advanced topics such as multiple regression, exploratory and confirmatory factor analysis, item response theory (IRT), IRT applications including computer adaptive testing and differential item functioning, and generalizability theory. Ideal as a text for any psychometrics, testing and measurement, or multivariate statistics course taught in psychology, education, marketing and management, professional researchers in need of a quick refresher on applying measurement theory will also find this an invaluable reference.
