Sizes and Powers of Tests for Models with Sample Selection Biases

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Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (753 download)

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Book Synopsis Sizes and Powers of Tests for Models with Sample Selection Biases by : Kazumitsu Nawata

Download or read book Sizes and Powers of Tests for Models with Sample Selection Biases written by Kazumitsu Nawata and published by . This book was released on 1997 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Finite Sample Properties of Tests for Models with Sample Selection Biases

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Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Finite Sample Properties of Tests for Models with Sample Selection Biases by : Kazumitsu Nawata

Download or read book Finite Sample Properties of Tests for Models with Sample Selection Biases written by Kazumitsu Nawata and published by . This book was released on 1995 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Structural Equation Modeling

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Publisher : Guilford Publications
ISBN 13 : 1462544649
Total Pages : 801 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Handbook of Structural Equation Modeling by : Rick H. Hoyle

Download or read book Handbook of Structural Equation Modeling written by Rick H. Hoyle and published by Guilford Publications. This book was released on 2023-02-17 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--

Determining Sample Size

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Publisher : Oxford University Press
ISBN 13 : 0190295546
Total Pages : 176 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Determining Sample Size by : Patrick Dattalo

Download or read book Determining Sample Size written by Patrick Dattalo and published by Oxford University Press. This book was released on 2008-01-11 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: A researchers decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling, multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.

Sample Size Determination and Power

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Publisher : John Wiley & Sons
ISBN 13 : 1118439228
Total Pages : 230 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Sample Size Determination and Power by : Thomas P. Ryan

Download or read book Sample Size Determination and Power written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive approach to sample size determination and power with applications for a variety of fields Sample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence intervals. The book distinctively merges applications from numerous fields such as statistics, biostatistics, the health sciences, and engineering in order to provide a complete introduction to the general statistical use of sample size determination. Advanced topics including multivariate analysis, clinical trials, and quality improvement are addressed, and in addition, the book provides considerable guidance on available software for sample size determination. Written by a well-known author who has extensively class-tested the material, Sample Size Determination and Power: Highlights the applicability of sample size determination and provides extensive literature coverage Presents a modern, general approach to relevant software to guide sample size determination including CATD (computer-aided trial design) Addresses the use of sample size determination in grant proposals and provides up-to-date references for grant investigators An appealing reference book for scientific researchers in a variety of fields, such as statistics, biostatistics, the health sciences, mathematics, ecology, and geology, who use sampling and estimation methods in their work, Sample Size Determination and Power is also an ideal supplementary text for upper-level undergraduate and graduate-level courses in statistical sampling.

Statistical Power Analysis for the Behavioral Sciences

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Publisher : Routledge
ISBN 13 : 1134742770
Total Pages : 625 pages
Book Rating : 4.1/5 (347 download)

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Book Synopsis Statistical Power Analysis for the Behavioral Sciences by : Jacob Cohen

Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Sample Size Choice

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Publisher : CRC Press
ISBN 13 : 1000147924
Total Pages : 218 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Sample Size Choice by : Robert E. Odeh

Download or read book Sample Size Choice written by Robert E. Odeh and published by CRC Press. This book was released on 2020-08-12 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione

Learning Statistics with R

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Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)

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Book Synopsis Learning Statistics with R by : Daniel Navarro

Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Selection Bias and Covariate Imbalances in Randomized Clinical Trials

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Publisher : John Wiley & Sons
ISBN 13 : 0470863633
Total Pages : 218 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Selection Bias and Covariate Imbalances in Randomized Clinical Trials by : Vance Berger

Download or read book Selection Bias and Covariate Imbalances in Randomized Clinical Trials written by Vance Berger and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selection bias can, and does, occur, even in randomized clinical trials. Steps need to be taken in order to ensure that this does not compromise the integrity of clinical trials; hence “Selection Bias and Covariate Imbalances in Randomized Clinical Trials” offers a comprehensive treatment of the subject and the methodology involved. This book: Provides an overview of the hierarchy of study designs, and justifies the position of randomised trials at the top of this hierarchy. Discusses the strengths and defects of randomisation, and provides real evidence to justify concern regarding its defects. Outlays the damaging consequences that selection bias causes when it does occur. Considers courses of action that can be taken to manage/ contain the problem. Presents methods that can be used to detect selection bias in randomised trials, and methods to correct for selection bias. Concludes by providing a comprehensive plan for managing baseline imbalances and selection bias in randomised trials, and proposing open problems for future research. Illustrated with case studies, this book introduces groundbreaking ideas and research that will be invaluable to researchers and practitioners who design and analyse clinical trials. It will also be of interest to graduate students within the field of biostatistics.

A Guide to Sample Size for Animal-based Studies

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Publisher : John Wiley & Sons
ISBN 13 : 111979997X
Total Pages : 294 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis A Guide to Sample Size for Animal-based Studies by : Penny S. Reynolds

Download or read book A Guide to Sample Size for Animal-based Studies written by Penny S. Reynolds and published by John Wiley & Sons. This book was released on 2023-12-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand a foundational area of experimental design with this innovative reference Animal-based research is an essential part of basic and preclinical research, but poses a unique set of experimental design challenges. The most important of these are the 3Rs Replacement, Reduction and Refinement the principles comprising the ethical framework for humane animal-based studies. However, many researchers have difficulty navigating the design trade-offs necessary to simultaneously minimize animal use, and produce scientific information that is both rigorous and reliable. A Guide to Sample Size for Animal-Based Studies meets this need with a thorough, accessible reference work to the subject. This book provides a straightforward systematic approach to "right-sizing" animal-based experiments, with sample size estimates based on the fundamentals of statistical thinking: structured research questions, variation control and appropriate design of experiments. The result is a much-needed guide to planning animal-based experiments to ensure scientifically valid and reliable results. This book offers: Step-by-step guidance in diverse methods for approximating and refining sample size Detailed treatment of research topics specific to animal-based research, including pilot, feasibility and proof-of-concept studies Sample size approximation methods for different types of data binary, continuous, ordinal, time to event and different study types description, comparison, nested designs, reference interval construction and dose-response studies Numerous worked examples, using real data from published papers, together with SAS and R code A Guide to Sample Size for Animal-Based Studies is a must-have reference for preclinical and veterinary researchers, as well as ethical oversight committees and policymakers.

The Wildlife Techniques Manual

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Publisher : JHU Press
ISBN 13 : 1421436701
Total Pages : 1401 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis The Wildlife Techniques Manual by : Nova J. Silvy

Download or read book The Wildlife Techniques Manual written by Nova J. Silvy and published by JHU Press. This book was released on 2020-07-28 with total page 1401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The #1 selling wildlife management book for 40 years, now updated for the next generation of professionals and students. Since its original publication in 1960, The Wildlife Techniques Manual has remained the cornerstone text for the professional wildlife biologist. Now fully revised and updated, this eighth edition promises to be the most comprehensive resource on wildlife biology, conservation, and management for years to come. Superbly edited by Nova J. Silvy and published in association with The Wildlife Society, the 50 authoritative chapters included in this work provide a full synthesis of methods used in the field and laboratory. Chapter authors, all leading wildlife professionals, explain and critique traditional and new methodologies and offer thorough discussions of a wide range of relevant topics. To effectively incorporate the explosion of new information in the wildlife profession, this latest edition is logically organized into a 2-volume set: Volume 1 is devoted to research techniques and Volume 2 focuses on pragmatic management methodologies. Volume 1 describes research design and proper analytic methods prior to conducting research, as well as methods and considerations for capturing and handling wild animals and information on identification and marking of captured animals. It also includes new chapters on nutritional research and field sign identification, and on emerging topics, including structured decision-making. Finally, Volume 1 addresses measurements of wildlife abundance and habitat and research on individual animals. Volume 2 begins with a section on the relationship between research and management including public outreach, described in a context that encourages engagement prior to initiation of management. An adaptive management approach is described as a cornerstone of natural resource management, followed by a section on managing landscapes and wildlife populations. The volume also includes new chapters on ethics in wildlife science and conservation, conflict resolution and management, and land reclamation. A standard text in a variety of courses, the Techniques Manual, as it is commonly called, covers every aspect of modern wildlife management and provides practical information for applying the hundreds of methods described in its pages. This deft and thorough update ensures that The Wildlife Techniques Manual will remain an indispensable resource, one that professionals and students in wildlife biology, conservation, and management simply cannot do without.

Testing for Random Walk Coefficients in Regression and State Space Models

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Publisher : Springer Science & Business Media
ISBN 13 : 3642997996
Total Pages : 326 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Testing for Random Walk Coefficients in Regression and State Space Models by : Martin Moryson

Download or read book Testing for Random Walk Coefficients in Regression and State Space Models written by Martin Moryson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression and state space models with time varying coefficients are treated in a thorough manner. State space models are introduced as a means to model time varying regression coefficients. The Kalman filter and smoother recursions are explained in an easy to understand fashion. The main part of the book deals with testing the null hypothesis of constant regression coefficients against the alternative that they follow a random walk. Different exact and large sample tests are presented and extensively compared based on Monte Carlo studies, so that the reader is guided in the question which test to choose in a particular situation. Moreover, different new tests are proposed which are suitable in situations with autocorrelated or heteroskedastic errors. Additionally, methods are developed to test for the constancy of regression coefficients in situations where one knows already that some coefficients follow a random walk, thereby one is enabled to find out which of the coefficients varies over time.

Cumulated Index Medicus

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Publisher :
ISBN 13 :
Total Pages : 1392 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Cumulated Index Medicus by :

Download or read book Cumulated Index Medicus written by and published by . This book was released on 1993 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sensory Discrimination Tests and Measurements

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Publisher : John Wiley & Sons
ISBN 13 : 0470276401
Total Pages : 313 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Sensory Discrimination Tests and Measurements by : Jian Bi

Download or read book Sensory Discrimination Tests and Measurements written by Jian Bi and published by John Wiley & Sons. This book was released on 2008-02-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensory discriminative analysis forms a fundamental type of methodology and is used widely in sensory and consumer research. Sensory Discrimination Tests and Measurements: Statistical Principles, Procedures and Tables provides a comprehensive discussion of sensory discriminative analysis from a statistical perspective. A wide variety of test and measurement methods, which were developed during the past decades and scattered in various statistical and non-statistical journals, are included in the book. The book gives a unified picture of the state of the subject and reflects some features of advanced sensory discriminative analysis. Designed to be both a reference manual and a research monograph, practitioners will discover various useful test and measurement procedures. More statistically-oriented readers will find the statistical considerations behind the procedures. Sensory Discrimination Tests and Measurements will be of interest to everyone concerned with testing and measuring sensory difference and consumer preference.

The Econometrics of Financial Markets

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Publisher : Princeton University Press
ISBN 13 : 0691043019
Total Pages : 632 pages
Book Rating : 4.6/5 (91 download)

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Book Synopsis The Econometrics of Financial Markets by : John Y. Campbell

Download or read book The Econometrics of Financial Markets written by John Y. Campbell and published by Princeton University Press. This book was released on 1997 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

Model Selection and Multimodel Inference

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Publisher : Springer Science & Business Media
ISBN 13 : 0387224564
Total Pages : 512 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Model Selection and Multimodel Inference by : Kenneth P. Burnham

Download or read book Model Selection and Multimodel Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2007-05-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

Machine Learning with Qlik Sense

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Publisher : Packt Publishing Ltd
ISBN 13 : 1805121499
Total Pages : 242 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Machine Learning with Qlik Sense by : Hannu Ranta

Download or read book Machine Learning with Qlik Sense written by Hannu Ranta and published by Packt Publishing Ltd. This book was released on 2023-10-27 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of machine learning by using the one-of-a-kind Qlik platform, and take your data analytics skills to the next level Key Features Gain a solid understanding of machine learning concepts and learn to effectively define a problem Explore the application of machine learning principles within the Qlik platform Apply your knowledge of ML to real-world scenarios with the help of practical examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions. You’ll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset. By the end of this book, you’ll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.What you will learn Find out how to build practical machine learning solutions with the Qlik platform Develop the skills needed to generate and verify machine learning models using the Qlik platform Discover techniques used for preparing and investigating data to craft machine learning solutions Understand how to transform real-world business problems into machine learning models Expand your potential to new use cases with data analytics Explore advanced visualization techniques to make your models come alive Who this book is forIf you’re interested in data and analytics and are looking to extend your skillset to machine learning, this book is for you. Basic working knowledge of data, preferably with Qlik tools, will help you get started with this book. This is an excellent guide for anyone who wants to start using machine learning as part of their data analytics journey.