Contemporary Statistical Models For The Plant And Soil Sciences

Author : Oliver Schabenberger,Francis J. Pierce
Publisher : CRC Press
Page : 762 pages
File Size : 44,6 Mb
Release : 2001-11-13
Category : Mathematics
ISBN : 9781420040197

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Contemporary Statistical Models for the Plant and Soil Sciences by Oliver Schabenberger,Francis J. Pierce Pdf

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.

Author : K. Ramesh Reddy,Ronald D. DeLaune
Publisher : CRC Press
Page : 800 pages
File Size : 52,7 Mb
Release : 2008-07-28
Category : Science
ISBN : 9780203491454

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Biogeochemistry of Wetlands by K. Ramesh Reddy,Ronald D. DeLaune Pdf

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

Author : Joseph M. Hilbe,Andrew P. Robinson
Publisher : CRC Press
Page : 257 pages
File Size : 48,8 Mb
Release : 2013-05-28
Category : Mathematics
ISBN : 9781439858028

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Methods of Statistical Model Estimation by Joseph M. Hilbe,Andrew P. Robinson Pdf

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.

Author : Walter W. Stroup
Publisher : CRC Press
Page : 547 pages
File Size : 53,8 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439815137

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Generalized Linear Mixed Models by Walter W. Stroup Pdf

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.

Author : Richard E. Plant
Publisher : CRC Press
Page : 637 pages
File Size : 43,9 Mb
Release : 2012-03-07
Category : Mathematics
ISBN : 9781439819142

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Spatial Data Analysis in Ecology and Agriculture Using R by Richard E. Plant Pdf

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.

Author : Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes
Publisher : CRC Press
Page : 622 pages
File Size : 52,7 Mb
Release : 2010-03-19
Category : Mathematics
ISBN : 9781420072884

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Handbook of Spatial Statistics by Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes Pdf

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro

Author : Julian Evans,John A. Youngquist
Publisher : Academic Press
Page : 6502 pages
File Size : 41,7 Mb
Release : 2004-04-02
Category : Nature
ISBN : 9780080548012

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Encyclopedia of Forest Sciences by Julian Evans,John A. Youngquist Pdf

A combination of broad disciplinary coverage and scientific excellence, the Encyclopedia of Forest Sciences will be an indispensable addition to the library of anyone interested in forests, forestry and forest sciences. Packed with valuable insights from experts all over the world, this remarkable set not only summarizes recent advances in forest science techniques, but also thoroughly covers the basic information vital to comprehensive understanding of the important elements of forestry. The Encyclopedia of Forest Sciences also covers relevant biology and ecology, different types of forestry (e.g. tropical forestry and dryland forestry), scientific names of trees and shrubs, and the applied, economic, and social aspects of forest management. Valuable key features further enhance the utility of this Encyclopedia as an exceptional reference tool. Also available online via ScienceDirect – featuring extensive browsing, searching, and internal cross-referencing between articles in the work, plus dynamic linking to journal articles and abstract databases, making navigation flexible and easy. For more information, pricing options and availability visit www.info.sciencedirect.com. Edited and written by a distinguished group of editors and contributors Well-organized encyclopedic format provides concise, readable entries, easy searches, and thorough cross-references Illustrative tables, figures, and photographs in every entry, produced in full color Comprehensive glossary defines new and important terms Complete, up-to-date coverage of over 60 areas of forest sciences - sure to be of interest to scientists, students, and professionals alike! Editor-in-Chief is the past president of the International Union of Forestry Research Organizations, the oldest international collaborative forestry research organization with over 15,000 scientists from 100 countries

Author : Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger
Publisher : SAS Institute
Page : 608 pages
File Size : 53,6 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9781635261523

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SAS for Mixed Models by Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger Pdf

Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, multilocation, and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program.

Author : Gareth William Peters,Tomoko Matsui
Publisher : Springer
Page : 111 pages
File Size : 40,7 Mb
Release : 2016-01-08
Category : Mathematics
ISBN : 9784431553397

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Modern Methodology and Applications in Spatial-Temporal Modeling by Gareth William Peters,Tomoko Matsui Pdf

​ This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known as kernel mean embedding which has had a significant influence in machine learning disciplines. The second chapter takes up non-parametric statistical methods for spatial field reconstruction and exceedance probability estimation based on Gaussian process-based models in the context of wireless sensor network data. The third chapter presents signal-processing methods applied to acoustic mood analysis based on music signal analysis. The fourth chapter covers models that are applicable to time series modeling in the domain of speech and language processing. This includes aspects of factor analysis, independent component analysis in an unsupervised learning setting. The chapter moves on to include more advanced topics on generalized latent variable topic models based on hierarchical Dirichlet processes which recently have been developed in non-parametric Bayesian literature. The final chapter discusses aspects of dependence modeling, primarily focusing on the role of extreme tail-dependence modeling, copulas, and their role in wireless communications system models.

Author : Megh R. Goyal
Publisher : CRC Press
Page : 350 pages
File Size : 41,6 Mb
Release : 2012-07-19
Category : Science
ISBN : 9781466558809

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Management of Drip/Trickle or Micro Irrigation by Megh R. Goyal Pdf

This important book—the only complete, one-stop manual on microirrigation worldwide--offers knowledge and techniques necessary to develop and manage a drip/trickle or micro irrigation system. The simplicity of the contents facilitates a technician to develop an effective micro irrigation system. Management of Drip/Trickle or Micro Irrigation includes the basic considerations relating to soil-water-plant interactions, with topics such as methods for soil moisture measurement; evapotranspiration; irrigation systems; tensiometer use and installation; principles of drip/ micro/ trickle irrigation; filtration systems; automation; chloration; service and maintenance; design of drip irrigation and lateral lines; the evaluation of uniformity of application; and an economical analysis for selecting irrigation technology.

Author : Andrew P. Robinson,Jeff D. Hamann
Publisher : Springer Science & Business Media
Page : 342 pages
File Size : 51,7 Mb
Release : 2010-11-05
Category : Medical
ISBN : 9781441977625

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Forest Analytics with R by Andrew P. Robinson,Jeff D. Hamann Pdf

Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.

Author : Oliver Schabenberger,Carol A. Gotway
Publisher : CRC Press
Page : 512 pages
File Size : 55,9 Mb
Release : 2017-01-27
Category : Mathematics
ISBN : 9781482258134

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Statistical Methods for Spatial Data Analysis by Oliver Schabenberger,Carol A. Gotway Pdf

Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

Author : Edward E. Gbur,Walter W. Stroup,Kevin S. McCarter,Susan Durham,Linda J. Young,Mary Christman,Mark West,Matthew Kramer
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 53,7 Mb
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9780891181828

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Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences by Edward E. Gbur,Walter W. Stroup,Kevin S. McCarter,Susan Durham,Linda J. Young,Mary Christman,Mark West,Matthew Kramer Pdf

Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences provides readers with an understanding and appreciation for the design and analysis of mixed models for non-normally distributed data. It is the only publication of its kind directed specifically toward the agricultural and natural resources sciences audience. Readers will especially benefit from the numerous worked examples based on actual experimental data and the discussion of pitfalls associated with incorrect analyses.

Author : Jesus Fernandez Bayo,Yigal Achmon,Francesco Di Gioia,María Del Mar Guerrero
Publisher : Frontiers Media SA
Page : 174 pages
File Size : 48,7 Mb
Release : 2022-11-07
Category : Science
ISBN : 9782832504215

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Upcycling Organic Waste for the Sustainable Management of Soilborne Pests and Pathogens in Agri-Food Systems by Jesus Fernandez Bayo,Yigal Achmon,Francesco Di Gioia,María Del Mar Guerrero Pdf

Author : Ademola K. Braimoh
Publisher : Cuvillier Verlag
Page : 170 pages
File Size : 55,7 Mb
Release : 2004
Category : Agriculture
ISBN : 9783865370440

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Modeling Land-use Change in the Volta Basin of Ghana by Ademola K. Braimoh Pdf

Land change studies in a 5,400km2 area within the Volta Basin of Ghana were carried out using satellite image and socio-economic analyses. The dominant change process was conversion of natural vegetation to cropland at an annual rate of 5%. Reversible land change trajectories involving accumulation of woody biomass indicate a certain level of rainfall-induced ecosystem resilience. Linear and logistic regressions identified agricultural land suitability, distance from main market and localities, child-dependency ratio and population density as the main drivers of change. Policy measures that would relieve human pressure on vegetation resources, guarantee food supply and promote commercialization of agriculture are suggested.