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Foundations Initial Development Statistical Approaches
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Book Synopsis The Foundations of Statistics: A Simulation-based Approach by : Shravan Vasishth
Download or read book The Foundations of Statistics: A Simulation-based Approach written by Shravan Vasishth and published by Springer Science & Business Media. This book was released on 2010-11-11 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research — they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. ”Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended.” Harald Baayen, Professor of Linguistics, University of Alberta, Canada ”By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book’s coverage.” Colin Phillips, Professor of Linguistics, University of Maryland, USA
Book Synopsis The Stated Preference Approach to Environmental Valuation, Volumes I, II and III by : Richard T. Carson
Download or read book The Stated Preference Approach to Environmental Valuation, Volumes I, II and III written by Richard T. Carson and published by Routledge. This book was released on 2018-12-20 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a truly enormous literature on using stated preference information to place a monetary value on environmental amenities. This three volume set provides the key papers for understanding the historical development of contingent valuation, its theoretical and statistical foundations, and the major controversies. It also contains representative papers covering all of the major application areas in environmental valuation.
Download or read book Contingent Valuation written by R. Carson and published by Edward Elgar Publishing. This book was released on 2012-01-01 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major reference work the first of its kind provides a comprehensive and authoritative introduction to the large and growing literature on contingent valuation. It includes entries on over 7,500 contingent valuation papers and studies from over 130 countries covering both the published and grey literatures. This book provides an interpretive historical account of the development of contingent valuation, the most commonly used approach to placing a value on goods not normally sold in the marketplace. The major fields catalogued here include culture, the environment, and health application. This bibliography is an ideal starting point for researchers wanting to find other studies that have valued goods or used techniques similar to those they are interested in. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. In addition to the print edition we offer access, for purchasers of the book, to a website providing the contents of as a searchable Word document and in a variety of standard bibliographic database forms. Contingent Valuation is an indispensable reference source for researchers, scholars and policymakers concerned with survey approaches to the problem of environmental valuation.
Book Synopsis Statistical Foundations of Data Science by : Jianqing Fan
Download or read book Statistical Foundations of Data Science written by Jianqing Fan and published by CRC Press. This book was released on 2020-09-21 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.
Book Synopsis SAGE Research Methods Foundations by : Paul Anthony Atkinson
Download or read book SAGE Research Methods Foundations written by Paul Anthony Atkinson and published by SAGE Publications Limited. This book was released on 2021-05-05 with total page 6000 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Conceptual Foundations of the Statistical Approach in Mechanics by : Paul Ehrenfest
Download or read book The Conceptual Foundations of the Statistical Approach in Mechanics written by Paul Ehrenfest and published by Courier Corporation. This book was released on 2014-11-12 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic 1912 article reformulated the foundations of the statistical approach in mechanics. Largely still valid, the treatment covers older formulation of statistico-mechanical investigations, modern formulation of kineto-statistics of the gas model, and more. 1959 edition.
Book Synopsis Foundations of Qualitative Research by : Jerry W. Willis
Download or read book Foundations of Qualitative Research written by Jerry W. Willis and published by SAGE Publications. This book was released on 2007-01-26 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Willis catches the student up on relevant aspects of philosophy, empiricism, history, and prevailing political influences. This building of chronology is so valuable for students in understanding the origins of specific schools of thought in relations to a paradigm." —Heather T. Zeng, NACADA Foundations of Qualitative Research introduces key theoretical and epistemological concepts replete with historical and current real-world examples. Author Jerry W. Willis provides an invaluable resource to guide the critical and qualitative inquiry process written in an accessible and non-intimidating style that brings these otherwise difficult concepts to life. Key Features: Covers the conceptual foundations of interpretive, critical, and post-positivist paradigms: A thorough background of theory and social inquiry is given by looking at the development of each paradigm throughout history. Provides real-world examples: Cases illustrate different approaches to the same research problem so that students can better understand the contrasting features of these paradigms. Introduces seven qualitative research frameworks: In-depth coverage is provided on Altheide and Johnson′s Analytic Realism; Denzin and Lincoln′s Interpretive Perspective; Eisner′s Connoisseurship Model of Inquiry; Semiotics; the Phenomenological Psychological Model; Poststructuralism and Postmodernism; and Symbolic Interactionism. Offers general guidelines for qualitative research: Conceptually covers the best practices, approaches to data analysis, and interpretation of qualitative research. Examines emergent methods in qualitative research: New research areas such as PAR, emancipatory research, and participatory design research are included, as well as exemplary journal articles to further illustrate how theory links to research practice. Intended Audience: This text is designed for advanced undergraduate and graduate students taking their first or second qualitative research methods course in the fields of Education, Psychology, and the Health and Social Sciences. It is also an excellent theory companion supplement to the more applied qualitative methods text.
Book Synopsis Foundations of Data Science by : Avrim Blum
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Book Synopsis Proceedings of National Electric Light Association by : National Electric Light Association. Convention
Download or read book Proceedings of National Electric Light Association written by National Electric Light Association. Convention and published by . This book was released on 1926 with total page 1676 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings by : National Electric Light Association
Download or read book Proceedings written by National Electric Light Association and published by . This book was released on 1926 with total page 1676 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Contribution of Italy to Modern Statistical Methods .... by : Corrado Gini
Download or read book The Contribution of Italy to Modern Statistical Methods .... written by Corrado Gini and published by . This book was released on 1926 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Catalogue by : Western Reserve University
Download or read book Catalogue written by Western Reserve University and published by . This book was released on 1910 with total page 1196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Host Bibliographic Record for Boundwith Item Barcode 30112106187302 and Others by :
Download or read book Host Bibliographic Record for Boundwith Item Barcode 30112106187302 and Others written by and published by . This book was released on 1912 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Foundations of Statistics by : Leonard J. Savage
Download or read book The Foundations of Statistics written by Leonard J. Savage and published by Courier Corporation. This book was released on 2012-08-29 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
Book Synopsis Statistical Decision Theory by : James Berger
Download or read book Statistical Decision Theory written by James Berger and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint.
Book Synopsis Foundations of Statistical Algorithms by : Claus Weihs
Download or read book Foundations of Statistical Algorithms written by Claus Weihs and published by CRC Press. This book was released on 2013-12-09 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs. Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.
Book Synopsis Research in Organizations by : Richard A. Swanson
Download or read book Research in Organizations written by Richard A. Swanson and published by Berrett-Koehler Publishers. This book was released on 2005-07-01 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Richard A. Swanson and Elwood F. Holton, leading scholars in the field, bring together contributions from more than twenty distinguished researchers from multiple disciplines to provide a comprehensive introductory textbook on organizational research. Designed for use by professors and students in graduate-level programs in business, management, organizational leadership, and human resource development, Research in Organizations teaches how to apply a range of methodolgies to the study of organizations. This comprehensive guide covers the theoretical foundations of various research methods, shows how to apply those methods in organizational settings, and examines the ethical conduct of research. It provides a holistic perspective, embracing quantitative, qualitative, and mixed-methodology approaches and illuminating them through numerous illustrative examples.
