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Statistical Methods in Agriculture and Experimental Biology, Second Edition

An introductory text for scientists working in agriculture and experimental biology, Statistical Methods in Agriculture and Experimental;

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Statistical Methods in Agriculture and Experimental Biology

of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental;

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Statistical Methods in Agriculture and Experimental Biology

of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental;

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Applied Bayesian Statistical Studies in Biology and Medicine

of biology and experimental medicine rely on techniques for processing of experimental data and for the evaluation of hypotheses. It is increasingly;

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Applied Statistics for Network Biology: Methods in Systems Biology

and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by;

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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL

phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map;

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Statisticl Princples Dsgn Of Experiments

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied;

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An Introduction To Experimental Design And Statistics For Biology

, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and;

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Methods in Rhizosphere Biology Research

, bacteria, and oomycetes. Each chapter discusses different methodologies used in rhizosphere biology, while also providing real-world experimental;

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Animal Science

Animal science is an interdisciplinary approach to study agriculture, dairy management, and animal health with the help of biology. This;

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Statistical and Data Handling Skills in Biology

Statistical and Data Handling Skills in Biology puts statistics into context to show biology students the relevance of statistical analysis;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.;

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Likelihood Methods in Biology and Ecology

in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood;

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Likelihood Methods in Biology and Ecology

in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood;

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Food Product Design

Product Design: A Computer-Aided Statistical Approach familiarizes readers with the methodology of statistical experimental design, and its;

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Bioinformatics and Computational Biology

, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a;

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Computational Molecular Biology

. Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology;

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Arbuscular Mycorrhizal Fungi

of metagenomics for community studies and experimental procedures for functional genomics. Written for the highly successful Methods in Molecular Biology;

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Quantitative Biology

of microenvironments. Integrating new experimental and theoretical methods, Quantitative Biology: From Molecular to Cellular Systems gives both new and;

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A First Course Mathematical Statistics

underlying theory, it is of interest to students of a wide variety of subjects: biology, psychology, agriculture, economics, physics, chemistry, and;

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Computational Biology

Ground Computational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and;

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Handbook of Statistical Systems Biology

systems. * Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. * Features;

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Cause & Correlation In Biology

popular and freely available R statistical language. Sections on d-sep tests, latent constructs that are common in biology, missing values;

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Experimental Psychology Methods of Research

For one-quarter/semester, sophomore/graduate-level courses in Research Methods and Experimental Psychology. This text explores the field;

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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles;

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Bayesian Statistics for Experimental Scientists

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;

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Experimental Methods For Engineers

in mechanical, chemical and electrical engineering departments. It offers a broad scope of experimental measurement techniques for mechanical and;

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