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Contemporary Statistical Models for the Plant and Soil Sciences

2001-11-13 Mathematics
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Release : 2001-11-13
Genre : Mathematics
Kind : eBook
Book Rating : 197/5 ( reviews)

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Book Synopsis Contemporary Statistical Models for the Plant and Soil Sciences by : Oliver Schabenberger

Download or read book Contemporary Statistical Models for the Plant and Soil Sciences written by Oliver Schabenberger. This book was released on 2001-11-13. Available in PDF, EPUB and Kindle. Book excerpt: Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that their disciplines raise. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science provides. The first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this gap. The breadth and depth of topics covered is unusual. Each of the main chapters could be a textbook in its own right on a particular class of data structures or models. The cogent presentation in one text allows research workers to apply modern statistical methods that otherwise are scattered across several specialized texts. The combination of theory and application orientation conveys ìwhyî a particular method works and ìhowî it is put in to practice. About the downloadable resources The accompanying downloadable resources are a key component of the book. For each of the main chapters additional sections of text are available that cover mathematical derivations, special topics, and supplementary applications. It supplies the data sets and SAS code for all applications and examples in the text, macros that the author developed, and SAS tutorials ranging from basic data manipulation to advanced programming techniques and publication quality graphics. Contemporary statistical models can not be appreciated to their full potential without a good understanding of theory. They also can not be applied to their full potential without the aid of statistical software. Contemporary Statistical Models for the Plant and Soil Science provides the essential mix of theory and applications of statistical methods pertinent to research in life sciences.

Biogeochemistry of Wetlands

2008-07-28 Science
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Release : 2008-07-28
Genre : Science
Kind : eBook
Book Rating : 459/5 ( reviews)

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Book Synopsis Biogeochemistry of Wetlands by : K. Ramesh Reddy

Download or read book Biogeochemistry of Wetlands written by K. Ramesh Reddy. This book was released on 2008-07-28. Available in PDF, EPUB and Kindle. Book excerpt: Wetland ecosystems maintain a fragile balance of soil, water, plant, and atmospheric components in order to regulate water flow, flooding, and water quality. Marginally covered in traditional texts on biogeochemistry or on wetland soils, Biogeochemistry of Wetlands is the first to focus entirely on the biological, geological, physical, and chemical

Methods of Statistical Model Estimation

2013-05-28 Mathematics
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Release : 2013-05-28
Genre : Mathematics
Kind : eBook
Book Rating : 020/5 ( reviews)

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Book Synopsis Methods of Statistical Model Estimation by : Joseph M. Hilbe

Download or read book Methods of Statistical Model Estimation written by Joseph M. Hilbe. This book was released on 2013-05-28. Available in PDF, EPUB and Kindle. Book excerpt: Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. The text presents algorithms for the estimation of a variety of regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R code is constructed for each method. The book starts with OLS regression and generalized linear models, building to two-parameter maximum likelihood models for both pooled and panel models. It then covers a random effects model estimated using the EM algorithm and concludes with a Bayesian Poisson model using Metropolis-Hastings sampling. The book's coverage is innovative in several ways. First, the authors use executable computer code to present and connect the theoretical content. Therefore, code is written for clarity of exposition rather than stability or speed of execution. Second, the book focuses on the performance of statistical estimation and downplays algebraic niceties. In both senses, this book is written for people who wish to fit statistical models and understand them. See Professor Hilbe discuss the book.

Spatial Data Analysis in Ecology and Agriculture Using R

2012-03-07 Mathematics
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Release : 2012-03-07
Genre : Mathematics
Kind : eBook
Book Rating : 149/5 ( reviews)

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Book Synopsis Spatial Data Analysis in Ecology and Agriculture Using R by : Richard E. Plant

Download or read book Spatial Data Analysis in Ecology and Agriculture Using R written by Richard E. Plant. This book was released on 2012-03-07. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author’s spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

Generalized Linear Mixed Models

2016-04-19 Mathematics
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Release : 2016-04-19
Genre : Mathematics
Kind : eBook
Book Rating : 135/5 ( reviews)

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Book Synopsis Generalized Linear Mixed Models by : Walter W. Stroup

Download or read book Generalized Linear Mixed Models written by Walter W. Stroup. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: With numerous examples using SAS PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.

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