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Statistical Data Analysis Explained

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

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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Spatial Data Analysis in the Social and Environmental Sciences

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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Statistical Methods for Groundwater Monitoring

A new edition of the most comprehensive overview of statistical methods for environmental monitoring applications Thoroughly updated to;

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Statistical Methods for Environmental and Agricultural Sciences

sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with;

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Statistical Methods for Environmental & Agricultural Sciences

sciences. Because it uses simple, non-mathematical language to present statistical techniques, the reader requires only a familiarity with;

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Environmental Data Analysis

coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical;

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Statistics for Earth and Environmental Scientists

contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical;

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Statistical Computation for Environmental Sciences in R

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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Analysis Biomarker Data Practical Guide

A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods;

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Statistics in Environmental Sciences

Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the;

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Recent Developments in Mathematical, Statistical and Computational Sciences

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

STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;

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Bayesian Theory and Methods with Applications

, 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

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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Recent Advances in Mathematical and Statistical Methods

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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Statistical Methods For The Social Sciences

rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to;

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Multivariate Statistical Methods

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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Multivariate Statistical Methods

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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Statistical Methods for Engineering and Sciences

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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Statistical Methods for Detection and Quantification of Environmental Contamination

made, Statistical Methods for Detection and Quantification of Environmental Contamination:* Presents statistical methods that allow the;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

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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Mathematical and Statistical Methods for Actuarial Sciences and Finance

for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;

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Methods and Applications of Statistics in the Life and Health Sciences

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working;

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Environmental Statistics with S-Plus

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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