Estimation And Inference With Complex Count Data From Fisheries Surveys Including Over Dispersion Many Nuisance Parameters And Correlation

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Estimation and Inference with Complex Count Data from Fisheries Surveys, Including Over-dispersion, Many Nuisance Parameters, and Correlation

Author : Shijia Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Estimation and Inference with Complex Count Data from Fisheries Surveys, Including Over-dispersion, Many Nuisance Parameters, and Correlation by : Shijia Wang

Download or read book Estimation and Inference with Complex Count Data from Fisheries Surveys, Including Over-dispersion, Many Nuisance Parameters, and Correlation written by Shijia Wang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We study methods to estimate regression and variance parameters for over-dispersed and correlated count data from highly stratified surveys. A challenge with such data is the large number of nuisance parameters which leads to computational issues and biased statistical inferences. We develop a profile generalized estimating equation (GEE) method that is more computationally efficient and compare it to marginal maximum likelihood (MLE) and restricted MLE (REML) methods. We use REML to address bias and inaccurate confidence intervals because of many nuisance parameters. The marginal MLE and REML approaches involve intractable integrals and we used a new R package that is designed for estimating complex nonlinear models that may include random effects. We conduct simulation analyses and conclude that the REML method is the better approach among the three methods we investigate. Our applications involve counts of fish catches from highly-stratified research surveys. In the first application, we estimate the day and night (diel) effect for three species from bottom trawl research surveys. In the second application, we estimate the diel and vessel effects of two different snow crab surveys.

Estimating Relative Efficiency from Paired-count Data with Over-dispersion, with Application to Fishery Survey Calibration Studies

Download Estimating Relative Efficiency from Paired-count Data with Over-dispersion, with Application to Fishery Survey Calibration Studies PDF Online Free

Author : Osama M. Bataineh
Publisher :
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4.:/5 (263 download)

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Book Synopsis Estimating Relative Efficiency from Paired-count Data with Over-dispersion, with Application to Fishery Survey Calibration Studies by : Osama M. Bataineh

Download or read book Estimating Relative Efficiency from Paired-count Data with Over-dispersion, with Application to Fishery Survey Calibration Studies written by Osama M. Bataineh and published by . This book was released on 2008 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Beyond Multiple Linear Regression

Author : Paul Roback
Publisher : CRC Press
ISBN 13 : 1439885400
Total Pages : 436 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Beyond Multiple Linear Regression by : Paul Roback

Download or read book Beyond Multiple Linear Regression written by Paul Roback and published by CRC Press. This book was released on 2021-01-14 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

The Design of Fisheries Statistical Surveys

Author : G. P. Bazigos
Publisher : Bernan Press(PA)
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis The Design of Fisheries Statistical Surveys by : G. P. Bazigos

Download or read book The Design of Fisheries Statistical Surveys written by G. P. Bazigos and published by Bernan Press(PA). This book was released on 1976 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Approximate Marginal Inference in Models with Stratum Nuisance Parameters with Applications to Fishery Data

Author : Jared Tobin
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (767 download)

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Book Synopsis Approximate Marginal Inference in Models with Stratum Nuisance Parameters with Applications to Fishery Data by : Jared Tobin

Download or read book Approximate Marginal Inference in Models with Stratum Nuisance Parameters with Applications to Fishery Data written by Jared Tobin and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fast and Effective Statistical Inference for Spatio-Temporal Data, with Applications in Marine Ecology

Author : Ethan Lawler
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Fast and Effective Statistical Inference for Spatio-Temporal Data, with Applications in Marine Ecology by : Ethan Lawler

Download or read book Fast and Effective Statistical Inference for Spatio-Temporal Data, with Applications in Marine Ecology written by Ethan Lawler and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data in marine ecology are often characterized by substantial observation noise, patchiness in sampling coverage, and complex dynamics. Statistical techniques for analyzing these data need to account for complicated data generating mechanisms while still being computationally tractable. In this thesis we develop statistical models (in a maximum likelihood framework) that account for these difficulties to address two important questions in marine ecology: how can we infer an individual animal's behaviour from observing only their movement? how can we use observations of fish presence, counts, and/or abundance from scientific surveys to gain insight into the spatio-temporal dynamics of the fish population? Standard hidden Markov models (HMMs) for inferring behaviour from animal movement paths are shown to perform poorly when the movement includes autocorrelation not accounted for by the HMM framework. We develop an extension of the HMM that can account for this additional autocorrelation and provide diagnostics for determining when the autocorrelation is present. We analyze the movement paths of two grey seals to further validate our new modelling framework. Scientific surveys often use a stratified random sampling design to generate data with good spatial coverage over multiple decades with hundreds of spatially referenced observations per year. These datasets are too large to be analyzed with traditional methods, so we adapt the nearest neighbour Gaussian process, a modern advance in computationally efficient spatial modelling, for use within a hierarchical spatio-temporal generalized linear mixed modelling framework. We analyse two real datasets: Carolina wren counts in the state of Missouri, Haddock survey data obtained on the Scotian Shelf, off Nova Scotia. After developing our spatio-temporal model framework for a univariate response, we investigate how to generalize it to a multivariate response variable. Such data often arises in fisheries surveys wherein fish of different age-classes are counted. Specifically, we introduce a cross-sectional copula for our spatio-temporal nearest neighbour Gaussian process and study the behaviour of the copula and inference procedure through simulations.

Microeconometrics

Author : A. Colin Cameron
Publisher : Cambridge University Press
ISBN 13 : 1139444867
Total Pages : 1058 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Microeconometrics by : A. Colin Cameron

Download or read book Microeconometrics written by A. Colin Cameron and published by Cambridge University Press. This book was released on 2005-05-09 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

Introduction to WinBUGS for Ecologists

Author : Marc Kéry
Publisher : Academic Press
ISBN 13 : 0123786061
Total Pages : 321 pages
Book Rating : 4.1/5 (237 download)

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Book Synopsis Introduction to WinBUGS for Ecologists by : Marc Kéry

Download or read book Introduction to WinBUGS for Ecologists written by Marc Kéry and published by Academic Press. This book was released on 2010-07-19 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. - Introduction to the essential theories of key models used by ecologists - Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS - Provides every detail of R and WinBUGS code required to conduct all analyses - Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)

Joint Species Distribution Modelling

Author : Otso Ovaskainen
Publisher : Cambridge University Press
ISBN 13 : 1108492460
Total Pages : 389 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Joint Species Distribution Modelling by : Otso Ovaskainen

Download or read book Joint Species Distribution Modelling written by Otso Ovaskainen and published by Cambridge University Press. This book was released on 2020-06-11 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.

Generalized Additive Models

Author : Simon Wood
Publisher : CRC Press
ISBN 13 : 1584884746
Total Pages : 412 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Generalized Additive Models by : Simon Wood

Download or read book Generalized Additive Models written by Simon Wood and published by CRC Press. This book was released on 2006-02-27 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.

Applying Generalized Linear Models

Author : James K. Lindsey
Publisher : Springer Science & Business Media
ISBN 13 : 038722730X
Total Pages : 265 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Applying Generalized Linear Models by : James K. Lindsey

Download or read book Applying Generalized Linear Models written by James K. Lindsey and published by Springer Science & Business Media. This book was released on 2008-01-15 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.

Maximum Likelihood Estimation and Inference

Author : Russell B. Millar
Publisher : John Wiley & Sons
ISBN 13 : 1119977711
Total Pages : 286 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Maximum Likelihood Estimation and Inference by : Russell B. Millar

Download or read book Maximum Likelihood Estimation and Inference written by Russell B. Millar and published by John Wiley & Sons. This book was released on 2011-07-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm. Key features: Provides an accessible introduction to pragmatic maximum likelihood modelling. Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood. Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data. Presents numerous examples and case studies across a wide range of applications including medicine, biology and ecology. Features applications from a range of disciplines, with implementation in R, SAS and/or ADMB. Provides all program code and software extensions on a supporting website. Confines supporting theory to the final chapters to maintain a readable and pragmatic focus of the preceding chapters. This book is not just an accessible and practical text about maximum likelihood, it is a comprehensive guide to modern maximum likelihood estimation and inference. It will be of interest to readers of all levels, from novice to expert. It will be of great benefit to researchers, and to students of statistics from senior undergraduate to graduate level. For use as a course text, exercises are provided at the end of each chapter.

Generalized Poisson Distributions

Author : P. C. Consul
Publisher : CRC Press
ISBN 13 : 9780824778637
Total Pages : 320 pages
Book Rating : 4.7/5 (786 download)

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Book Synopsis Generalized Poisson Distributions by : P. C. Consul

Download or read book Generalized Poisson Distributions written by P. C. Consul and published by CRC Press. This book was released on 1988-12-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents 28 bar diagrams that illustrate the versatility of the generalized Poisson model and discusses stochastic processes leading to the generalized Poisson distribution. Examines theoretical properties that vary in difficulty, includes proofs for numerous theorems, explores confidence intervals

An Introduction to Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Habitat Requirements for Chesapeake Bay Living Resources

Author :
Publisher :
ISBN 13 :
Total Pages : 506 pages
Book Rating : 4.3/5 (5 download)

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Book Synopsis Habitat Requirements for Chesapeake Bay Living Resources by :

Download or read book Habitat Requirements for Chesapeake Bay Living Resources written by and published by . This book was released on 1991 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Age Statistical Inference, Student Edition

Author : Bradley Efron
Publisher : Cambridge University Press
ISBN 13 : 1108915876
Total Pages : 514 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Computer Age Statistical Inference, Student Edition by : Bradley Efron

Download or read book Computer Age Statistical Inference, Student Edition written by Bradley Efron and published by Cambridge University Press. This book was released on 2021-06-17 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.

Statistical Ecology

Author : Linda J. Young
Publisher : Springer Science & Business Media
ISBN 13 : 1475728298
Total Pages : 581 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Statistical Ecology by : Linda J. Young

Download or read book Statistical Ecology written by Linda J. Young and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.