Introduction To Probability And Statistics For Ecosystem Managers

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Introduction to Probability and Statistics for Ecosystem Managers

Author : Timothy C. Haas
Publisher : John Wiley & Sons
ISBN 13 : 1118636236
Total Pages : 271 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Introduction to Probability and Statistics for Ecosystem Managers by : Timothy C. Haas

Download or read book Introduction to Probability and Statistics for Ecosystem Managers written by Timothy C. Haas and published by John Wiley & Sons. This book was released on 2013-05-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to future and practicing ecosystem managers by providing a comprehensive treatment of these two areas. The author presents a self-contained introduction for individuals involved in monitoring, assessing, and managing ecosystems and features intuitive, simulation-based explanations of probabilistic and statistical concepts. Mathematical programming details are provided for estimating ecosystem model parameters with Minimum Distance, a robust and computer-intensive method. The majority of examples illustrate how probability and statistics can be applied to ecosystem management challenges. There are over 50 exercises – making this book suitable for a lecture course in a natural resource and/or wildlife management department, or as the main text in a program of self-study. Key features: Reviews different approaches to wildlife and ecosystem management and inference. Uses simulation as an accessible way to explain probability and stochastic model behavior to beginners. Covers material from basic probability through to hierarchical Bayesian models and spatial/ spatio-temporal statistical inference. Provides detailed instructions for using R, along with complete R programs to recreate the output of the many examples presented. Provides an introduction to Geographic Information Systems (GIS) along with examples from Quantum GIS, a free GIS software package. A companion website featuring all R code and data used throughout the book. Solutions to all exercises are presented along with an online intelligent tutoring system that supports readers who are using the book for self-study.

Environmental Risk Analysis

Author : Louis Theodore
Publisher : CRC Press
ISBN 13 : 1498714404
Total Pages : 390 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Environmental Risk Analysis by : Louis Theodore

Download or read book Environmental Risk Analysis written by Louis Theodore and published by CRC Press. This book was released on 2015-09-25 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Training Tool for the Environmental Risk ProfessionalEnvironmental Risk Analysis: Probability Distribution Calculations defines the role that probability distributions play in risk analysis, and gives direction on how to measure and compare the magnitude of risk more efficiently. Designed for the practicing environmental engineer and scientist, t

Clinical Trials with Missing Data

Author : Michael O'Kelly
Publisher : John Wiley & Sons
ISBN 13 : 1118762533
Total Pages : 472 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Clinical Trials with Missing Data by : Michael O'Kelly

Download or read book Clinical Trials with Missing Data written by Michael O'Kelly and published by John Wiley & Sons. This book was released on 2014-02-14 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included – the reader is given a toolbox for implementing analyses under a variety of assumptions.

Modern Industrial Statistics

Author : Shelemyahu Zacks
Publisher : John Wiley & Sons
ISBN 13 : 1118763696
Total Pages : 740 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Modern Industrial Statistics by : Shelemyahu Zacks

Download or read book Modern Industrial Statistics written by Shelemyahu Zacks and published by John Wiley & Sons. This book was released on 2013-12-16 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability. Graduate and post-graduate students in the areas of statistical quality and engineering, as well as industrial statisticians, researchers and practitioners in these fields will all benefit from the comprehensive combination of theoretical and practical information provided in this single volume. Modern Industrial Statistics: With applications in R, MINITAB and JMP: Combines a practical approach with theoretical foundations and computational support. Provides examples in R using a dedicated package called MISTAT, and also refers to MINITAB and JMP. Includes exercises at the end of each chapter to aid learning and test knowledge. Provides over 40 data sets representing real-life case studies. Is complemented by a comprehensive website providing an introduction to R, and installations of JMP scripts and MINITAB macros, including effective tutorials with introductory material: www.wiley.com/go/modern_industrial_statistics.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Author : Franco Taroni
Publisher : John Wiley & Sons
ISBN 13 : 1118914740
Total Pages : 472 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science by : Franco Taroni

Download or read book Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science written by Franco Taroni and published by John Wiley & Sons. This book was released on 2014-07-21 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks “This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader’s own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

A Practical Guide to Designing Phase II Trials in Oncology

Author : Sarah R. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118570901
Total Pages : 260 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis A Practical Guide to Designing Phase II Trials in Oncology by : Sarah R. Brown

Download or read book A Practical Guide to Designing Phase II Trials in Oncology written by Sarah R. Brown and published by John Wiley & Sons. This book was released on 2014-05-12 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is included, saving time otherwise spent considering multiple manuscripts, and real-life practical examples of using this approach to design phase II trials in cancer are given. A Practical Guide to Designing Phase II Trials in Oncology: Offers a structured and practical approach to phase II trial design Considers trial design from both an academic and industry perspective Includes a structured library of available phase II trial designs Is relevant to both clinical and statistical researchers at all levels Includes real life examples of applying this approach For those new to trial design, A Practical Guide to Designing Phase II Trials in Oncology will be a unique and practical learning tool, providing an introduction to the concepts behind informed decision making in phase II trials. For more experienced practitioners, the book will offer an overview of new, less familiar approaches to phase II trial design, providing alternative options to those which they may have previously used.

Weight-of-Evidence for Forensic DNA Profiles

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 1118814541
Total Pages : 233 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Weight-of-Evidence for Forensic DNA Profiles by : David J. Balding

Download or read book Weight-of-Evidence for Forensic DNA Profiles written by David J. Balding and published by John Wiley & Sons. This book was released on 2015-05-18 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting. It offers practical guidance to forensic scientists with little dependence on mathematical ability, and provides the scientist with the understanding they require to apply the methods in their work. Since the publication of the first edition of this book in 2005 there have been many incremental changes, and one dramatic change which is the emergence of low template DNA (LTDNA) profiles. This second edition is edited and expanded to cover the basics of LTDNA technology. The author's own open-source R code likeLTD is described and used for worked examples in the book. Commercial and free software are also covered.

Riparian Ecosystems and Their Management

Author :
Publisher :
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Riparian Ecosystems and Their Management by :

Download or read book Riparian Ecosystems and Their Management written by and published by . This book was released on 1985 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research

Author : Michael J. Campbell
Publisher : John Wiley & Sons
ISBN 13 : 1118763602
Total Pages : 266 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research by : Michael J. Campbell

Download or read book How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research written by Michael J. Campbell and published by John Wiley & Sons. This book was released on 2014-03-28 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to understanding cluster randomised trials Written by two researchers with extensive experience in the field, this book presents a complete guide to the design, analysis and reporting of cluster randomised trials. It spans a wide range of applications: trials in developing countries, trials in primary care, trials in the health services. A key feature is the use of R code and code from other popular packages to plan and analyse cluster trials, using data from actual trials. The book contains clear technical descriptions of the models used, and considers in detail the ethics involved in such trials and the problems in planning them. For readers and students who do not intend to run a trial but wish to be a critical reader of the literature, there are sections on the CONSORT statement, and exercises in reading published trials. Written in a clear, accessible style Features real examples taken from the authors’ extensive practitioner experience of designing and analysing clinical trials Demonstrates the use of R, Stata and SPSS for statistical analysis Includes computer code so the reader can replicate all the analyses Discusses neglected areas such as ethics and practical issues in running cluster randomised trials How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research provides an excellent reference tool and can be read with profit by statisticians, health services researchers, systematic reviewers and critical readers of cluster randomised trials.

Statistical Methods for Hospital Monitoring with R

Author : Anthony Morton
Publisher : John Wiley & Sons
ISBN 13 : 1118639170
Total Pages : 462 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Statistical Methods for Hospital Monitoring with R by : Anthony Morton

Download or read book Statistical Methods for Hospital Monitoring with R written by Anthony Morton and published by John Wiley & Sons. This book was released on 2013-06-27 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software. This book provides much-needed guidance on data analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise. This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infection management data analysis. Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospital safety and easy to use functions. Provides R scripts in an accompanying web site enabling analyses to be performed by the reader http://www.wiley.com/go/hospital_monitoring Covers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws.

Statistical Methods for Evaluating Safety in Medical Product Development

Author : A. Lawrence Gould
Publisher : John Wiley & Sons
ISBN 13 : 1118763092
Total Pages : 392 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Statistical Methods for Evaluating Safety in Medical Product Development by : A. Lawrence Gould

Download or read book Statistical Methods for Evaluating Safety in Medical Product Development written by A. Lawrence Gould and published by John Wiley & Sons. This book was released on 2014-12-08 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It also provides understanding and practical guidance on the application of contemporary statistical methods to contemporary issues in safety evaluation during medical product development. Each chapter provides sufficient detail to the reader to undertake the design and analysis of experiments at various stages of product development, including comprehensive references to the relevant literature. Provides a guide to statistical methods and application in medical product development Assists readers in undertaking design and analysis of experiments at various stages of product development Features case studies throughout the book, as well as, SAS and R code

University Curricula in the Marine Sciences and Related Fields

Author :
Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis University Curricula in the Marine Sciences and Related Fields by :

Download or read book University Curricula in the Marine Sciences and Related Fields written by and published by . This book was released on 1973 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Primer of Ecological Statistics

Author : Nicholas J. Gotelli
Publisher : Sinauer
ISBN 13 : 9781605350646
Total Pages : 0 pages
Book Rating : 4.3/5 (56 download)

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Book Synopsis A Primer of Ecological Statistics by : Nicholas J. Gotelli

Download or read book A Primer of Ecological Statistics written by Nicholas J. Gotelli and published by Sinauer. This book was released on 2013-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Primer of Ecological Statistics, Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject. The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5). Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a 'bestiary' of experimental designs (Chapter 7), and transformations and data management (Chapter 8). Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12). Part IV—new to this edition—discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14). The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature. Data files and code used for some of the examples, as well as errata, are available online.

Applied Mathematical Ecology

Author : Simon A. Levin
Publisher : Springer Science & Business Media
ISBN 13 : 3642613179
Total Pages : 498 pages
Book Rating : 4.6/5 (426 download)

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Book Synopsis Applied Mathematical Ecology by : Simon A. Levin

Download or read book Applied Mathematical Ecology written by Simon A. Levin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Autumn Course on Mathematical Ecology was held at the Intern ational Centre for Theoretical Physics in Trieste, Italy in November and December of 1986. During the four year period that had elapsed since the First Autumn Course on Mathematical Ecology, sufficient progress had been made in applied mathemat ical ecology to merit tilting the balance maintained between theoretical aspects and applications in the 1982 Course toward applications. The course format, while similar to that of the first Autumn Course on Mathematical Ecology, consequently focused upon applications of mathematical ecology. Current areas of application are almost as diverse as the spectrum covered by ecology. The topiys of this book reflect this diversity and were chosen because of perceived interest and utility to developing countries. Topical lectures began with foundational material mostly derived from Math ematical Ecology: An Introduction (a compilation of the lectures of the 1982 course published by Springer-Verlag in this series, Volume 17) and, when possible, progressed to the frontiers of research. In addition to the course lectures, workshops were arranged for small groups to supplement and enhance the learning experience. Other perspectives were provided through presentations by course participants and speakers at the associated Research Conference. Many of the research papers are in a companion volume, Mathematical Ecology: Proceedings Trieste 1986, published by World Scientific Press in 1988. This book is structured primarily by application area. Part II provides an introduction to mathematical and statistical applications in resource management.

Handbook of Ecosystem Theories and Management

Author : Felix Muller
Publisher : CRC Press
ISBN 13 : 148227860X
Total Pages : 597 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Handbook of Ecosystem Theories and Management by : Felix Muller

Download or read book Handbook of Ecosystem Theories and Management written by Felix Muller and published by CRC Press. This book was released on 2000-02-10 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the Environmental and Ecological Modeling Handbooks series, the Handbook of Ecosystem Theories and Management provides a comprehensive overview of ecosystem theory and the tools - ecological engineering, ecological modeling, ecotoxicology and ecological economics -to manage these systems. The book is laid out to provide a summary or

Ecological Models and Data in R

Author : Benjamin M. Bolker
Publisher : Princeton University Press
ISBN 13 : 0691125228
Total Pages : 408 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Ecological Models and Data in R by : Benjamin M. Bolker

Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

Principles of Managerial Statistics and Data Science

Author : Roberto Rivera
Publisher : John Wiley & Sons
ISBN 13 : 1119486416
Total Pages : 688 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Principles of Managerial Statistics and Data Science by : Roberto Rivera

Download or read book Principles of Managerial Statistics and Data Science written by Roberto Rivera and published by John Wiley & Sons. This book was released on 2020-02-05 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.