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Statistical Methods for Imbalanced Data in Ecological and Biological Studies

AdaBoost for imbalanced data is discussed, providing a new framework for improvement of prediction, classification, and performance of variable;

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Medical Product Safety Evaluation

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;

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Medical Product Safety Evaluation

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;

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Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof;

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Statistical Ecology

of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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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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Models for Ecological Data

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

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Introduction to Ecological Sampling

, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional;

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Applied Bayesian Statistical Studies in Biology and Medicine

This volume presents the results of biological and medical research with the statistical methods used to obtain them. Nowadays the fields;

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Quantitative Ecology and Evolutionary Biology

This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical;

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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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Sampling Design And Statistical Methods For Environmental Biologists

. Reviews the principles of inference, sampling and statistical design, and hypothesis formulation, all with special reference to ecological data;

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Morphometric Tools for Landmark Data

Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as 'the bridge;

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Ecological Methodology

biological and technical issues in statistical methodology. Students learn about advances that have been made in designing better sampling devices;

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Meta-analysis and Combining Information in Genetics and Genomics

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis With;

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Meta-analysis and Combining Information in Genetics and Genomics

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis;

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Statistical Genomics

, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four;

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Environmental and Ecological Statistics with R

Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding;

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Environmental and Ecological Statistics with R

Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers;

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Statistical Methods for Fuzzy Data

this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results;

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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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Randomization, Bootstrap and Monte Carlo Methods in Biology

of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods;

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Randomization, Bootstrap and Monte Carlo Methods in Biology

of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods;

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A Primer of Ecological Statistics

cover mathematicalstatistical proofs or details, and still others address current topics in the ecological literature. Data files and code;

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Statistics for Environmental Biology and Toxicology

of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text;

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Stochastic Models Of Tumor Latency And Their Biostatistical Applications

biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data;

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