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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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Statistical Methods for Environmental and Agricultural Sciences

topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides;

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Statistical Methods for Environmental & Agricultural Sciences

topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides;

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Statistical Methods for the Environmental Sciences

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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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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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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

of statistical prediction limits for a gamma-distributed random variable, with a focus on estimation and testing of parameters in environmental;

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Statistical Methods In Biology

statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the;

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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

complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes;

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Statistical Downscaling for Hydrological and Environmental Applications

, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical;

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Analysis Biomarker Data Practical Guide

of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental;

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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 the Social Sciences, Global Edition

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

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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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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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Climate Change and Agricultural Ecosystems

. This book is a valuable resource for those working in environmental sciences, soil sciences, agricultural microbiology, plant pathology, and;

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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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Basic Environmental Health

students to the principles and methods applied in environmental health. It presents an overview of the basic sciences needed to understand;

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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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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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