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STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;
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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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Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples;
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Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to;
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case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning;
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Practical Statistics for the Biological Sciences is a handbook of statistical methods for use by workers in the biological sciences at all;
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sciences, engineering, management and so on. The book introduces statistical terminology and defines it for the benefit of a novice. For a;
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. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life;
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Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for;
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understand the use and application of the methods described. Whilst the book was chiefly addressed to students of the biological sciences, especially;
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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;
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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;
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topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides;
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topics: Part 1 introduces statistical concepts as they apply to different fields of environmental and agriculture sciences and provides;
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members of statistics, agricultural statistics and engineering, social; science and biological sciences. It is also useful to those students who;
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sciences rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an;
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for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology;
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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 first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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of samples and sensitive measurements, researchers must develop a theoretical and statistical understanding of both biological and non-biological;
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of samples and sensitive measurements, researchers must develop a theoretical and statistical understanding of both biological and non-biological;
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Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;
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Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;
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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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behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.;
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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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