Showing 61 - 80 results of 461 for search '"ordination"', query time: 0.11s Refine Results
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    Polimetrics A Stata Companion to Introduction to Political Science Research Methods by Franco, Josh

    Published 2023
    Table of Contents: “…Preface -- List of Figures -- Acknowledgements -- Chapter 1 - Overview -- Chapter 2 - Stata Software Tour and Getting Started -- Chapter 3 - Datasets: Cross-section, Time Series, and Panel -- Chapter 4 - Data Management -- Chapter 5 - Descriptive Statistics -- Chapter 6 - Model Selection -- Chapter 7 - Linear Models -- Chapter 8 - Binary Outcome Models -- Chapter 9 - Ordinal Outcome Models -- Chapter 10 - Categorical Outcome Models -- Chapter 11 - Count Outcome Models -- Chapter 12 - Panel Data Linear Models -- Chapter 13 - Panel Data Binary Outcome Models -- Chapter 14 - Panel Data Ordinal Outcome Models -- Chapter 15 - Panel Data Categorical Outcome Models -- Chapter 16 - Panel Data Count Outcome Models -- Chapter 17 - Survival Modes -- Chapter 18 - Share -- Chapter 19 - Reflection -- References…”
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    Advanced Legal Research Process and Practice by Austin, Megan

    Published 2023
    Table of Contents: “…Advanced Legal Research: Process and Practice -- Acknowledgements -- Introduction -- Overview of the Research Process and Legal Analysis -- Client Scenario -- Diversity, Equity, and Inclusion Topics -- Weekly Research Journal Entries -- Research Log Assignment -- Final Project -- Offline Preparation for Research -- Finding and Using Secondary Sources -- Finding and Using Enacted Law (Statutes and Ordinances) -- Finding and Using Case Law -- Finding and Using Administrative Law -- Finding and Using Legislative Law -- Updating, Reading, Analyzing, and Organizing Sources…”
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  15. 75

    Generalized Linear Mixed Models with Applications in Agriculture and Biology by Salinas Ruíz, Josafhat, Montesinos López, Osval Antonio, Hernández Ramírez, Gabriela, Crossa Hiriart, Jose

    Published 2023
    Table of Contents: “…Chapter 1) Elements of the Generalized Linear Mixed Models -- Chapter 2) Generalized Linear Models -- Chapter 3) Objectives in Model Inference -- Chapter 4) Generalized Linear Mixed Models for non-normal responses -- Chapter 5) Generalized Linear Mixed Models for Count response -- Chapter 6) Generalized Linear Mixed Models for Proportions and Percentages response -- Chapter 7) Times of occurrence of an event of interest -- Chapter 8) Generalized Linear Mixed Models for Categorial and Ordinal responses -- Chapter 9) Generalized Linear Mixed Models for Repeated Measurements.…”
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    Animals and the Shaping of Modern Medicine One Health and its Histories / by Woods, Abigail, Bresalier, Michael, Cassidy, Angela, Mason Dentinger, Rachel

    Published 2018
    Table of Contents: “…Centring animals within medical history -- Chapter 2: Doctors in the Zoo: Connecting human and animal health in British zoological gardens, c1828-1890; Abigail Woods -- Chapter 3: From co-ordinated campaigns to water-tight compartments: Diseased sheep and their investigation in Britain, c1880-1920; Abigail Woods -- Chapter 4: From healthy cows to healthy humans: Integrated approaches to world hunger, c1930-65; Michael Bresalier -- Chapter 5: The Parasitological Pursuit: Crossing species and disciplinary boundaries with Calvin W. …”
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    Multivariate Statistical Machine Learning Methods for Genomic Prediction by Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

    Published 2022
    Table of Contents: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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    Space, Place and Educational Settings

    Published 2022
    Table of Contents: “…Setting Aside Settings: On the Contradictory Dynamics of "Flat Earth", "Ordinalization" and "Cold Spot" Education Governing Projects.…”
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