Contemporary Bayesian and frequentist statistical research methods for natural resource scientists [[electronic resource] /] / Howard B. Stauffer

• Record Nr.: UNINA9910144720403321
• Autore: Stauffer Howard B. <1941->
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley-Interscience, c2008
• ISBN: 1-281-13476-7; 9786611134761; 0-470-18509-0; 0-470-18507-4
• Descrizione fisica: 1 online resource (418 p.)
• Disciplina: 519.5/42; 519.542
• Soggetti: Bayesian statistical decision theory; Mathematical statistics; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 383-387) and index.
• Nota di contenuto: CONTEMPORARY BAYESIAN AND FREQUENTIST STATISTICAL RESEARCH METHODS FOR NATURAL RESOURCE SCIENTISTS; CONTENTS; Preface; 1 Introduction; 1.1 Introduction; 1.2 Three Case Studies; 1.2.1 Case Study 1: Maintenance of a Population Parameter above a Critical Threshold Level; 1.2.2 Case Study 2: Estimation of the Abundance of a Discrete Population; 1.2.3 Case Study 3: Habitat Selection Modeling of a Wildlife Population; 1.2.4 Case Studies Summary; 1.3 Overview of Some Solution Strategies; 1.3.1 Sample Surveys and Parameter Estimation; 1.3.2 Experiments and Hypothesis Testing; 1.3.3 Multiple Linear Regression, Generalized Linear Modeling, and Model Selection1.3.4 A Preview of Bayesian Statistical Inference; 1.3.5 A Preview of Model Selection Strategies and Information-Theoretic Criteria for Model Selection; 1.3.6 A Preview of Mixed-Effects Modeling; 1.4 Review: Principles of Project Management; 1.5 Applications; 1.6 S-Plus® and R Orientation I: Introduction; 1.6.1 Orientation I; 1.6.2 Simple Manipulations; 1.6.3 Data Structures; 1.6.4 Random Numbers; 1.6.5 Graphs; 1.6.6 Importing and Exporting Files; 1.6.7 Saving and ; Restoring Objects; 1.6.8 Directory Structures; 1.6.9 Functions and Control Structures1.6.10 Linear Regression Analysis in S-Plus and R; 1.7 S-Plus and R Orientation II: Distributions; 1.7.1 Uniform Distribution; 1.7.2 Normal Distribution; 1.7.3 Poisson Distribution; 1.7.4 Binomial Distributions; 1.7.5 Simple Random Sampling; 1.8 S-Plus and R Orientation III: Estimation of Mean and Proportion, Sampling Error, and Confidence Intervals; 1.8.1 Estimation of Mean; 1.8.2 Estimation of Proportion; 1.9 S-Plus and R Orientation IV: Linear Regression; 1.10 Summary; Problems; 2 Bayesian Statistical Analysis I: Introduction; 2.1 Introduction; 2.1.1 Historical Background2.1.2 Limitations to the Use of Frequentist Statistical Inference for Natural Resource Applications: An Example; 2.2 Three Methods for Fitting Models to Datasets; 2.2.1 Least-Squares (LS) Fit-Minimizing a Goodness-of-Fit Profile; 2.2.2 Maximum-Likelihood (ML) Fit-Maximizing the Likelihood Profile; 2.2.3 Bayesian Fit-Bayesian Statistical Analysis and Inference; 2.2.4 Examples; 2.3 The Bayesian Paradigm for Statistical Inference: Bayes Theorem; 2.4 Conjugate Priors; 2.4.1 Continuous Data with the Normal Model; 2.4.2 Count Data with the Poisson Model; 2.4.3 Binary Data with the Binomial Model2.4.4 Conjugate Priors for Other Datasets; 2.5 Other Priors; 2.5.1 Noninformative, Uniform, and Proper or Improper Priors; 2.5.2 Jeffreys Priors; 2.5.3 Reference Priors, Vague Priors, and Elicited Priors; 2.5.4 Empirical Bayes Methods; 2.5.5 Sensitivity Analysis: An Example; 2.6 Summary; Problems; 3 Bayesian Statistical Inference II: Bayesian Hypothesis Testing and Decision Theory; 3.1 Bayesian Hypothesis Testing: Bayes Factors; 3.1.1 Proportion Estimation of Nesting Northern Spotted Owl Pairs; 3.1.2 Medical Diagnostics; 3.2 Bayesian Decision Theory; 3.3 Preview: More Advanced Methods of Bayesian Statiscal Analysis-Markov Chain Monte Carlo (MCMC) Alogrithms and WinBUGS Software
• Sommario/riassunto: The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as generalized linear modeling, mixed-effects modeling, and Bayesian statistical analysis and inference, remain relatively unknown among researchers and practitioners in this field. Through its inclusive, hands-on treatment of real-world examples,

Critical Alliances : : Economics and Feminism in English Women's Writing, 1880-1914 / / S. Brooke Cameron

• Record Nr.: UNISA996580164603316
• Autore: Cameron S. Brooke
• Pubbl/distr/stampa: University of Toronto Press, 2020; Toronto : , : University of Toronto Press, , 2020
• ISBN: 1-4875-2598-2; 1-4426-2560-0
• Descrizione fisica: 1 online resource (1 p.)
• Classificazione: cci1icc
• Disciplina: 820.9/3522
• Soggetti: Literary Criticism / European / English, Irish, Scottish, Welsh; Literature - History and criticism; Criticism, interpretation, etc.; History; English-speaking countries
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Introduction -- Educating new women for feminist futures -- Sisterly kinship and the modern sexual contract -- Cosmopolitan communities of female professionals -- Women's artistic connoisseurship and the pleasures of a lesbian aesthetic -- Virginia Woolf's post-Victorian feminism -- Coda : The post-Victorian legacy of women's work.
• Sommario/riassunto: "Critical Alliances argues that late-Victorian and modernist feminist authors saw in literary representations of female collaboration an opportunity to produce new gender and economic roles for women. It is not often that one thinks of female allegiances - such as kinship networks, cultural inheritance, or lesbian marriage - as influencing the marketplace; nor does one often think of economic models when theorizing feminist cooperation. S. Brooke Cameron suggests that, through their representations of female partnership, feminist authors such as Virginia Woolf, Olive Schreiner, George Egerton, Amy Levy, and Michael Field redefined the gendered marketplace and, with it, women's professional opportunities. Interdisciplinary at its core and using a contextual approach, Critical Alliances selects cultural texts and ; theories relevant to each writer's particular intervention in the marketplace. Chapters look at how different forms of feminist collaboration enabled women to stake their claim to one of the many, emergent professions at the turn of the century."--