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of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The;
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Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and;
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Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis;
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A new edition of the most comprehensive overview of statistical methods for environmental monitoring applications Thoroughly updated to;
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sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with;
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sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with;
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coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical;
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contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical;
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The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and;
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A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods;
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Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the;
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This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range;
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STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;
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, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical;
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Statistical Methods for the Social Sciences, Global Edition 5e editie is een boek van Alan Agresti uitgegeven bij Pearson Education Limited;
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in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology;
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rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to;
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style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this;
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style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this;
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The text, divided into Chapters 1-12, has been designed for a course on statistical methods for students in engineering, mathematics;
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made, Statistical Methods for Detection and Quantification of Environmental Contamination:* Presents statistical methods that allow the;
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illustrating common problems that exist in the natural resource sciences and presents the statistical knowledge and tools needed for a modern treatment;
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for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;
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for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;
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Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working;
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of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems. Using the S-PLUS;
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