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Statistics in Human Genetics

Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis;

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Deterministic And Stochastic Models Of Aids Epidemics And Hiv Infections With Intervention

effects of AIDS vaccines, statistical methods for analyzing clinical trial data on AIDS vaccines, and overviews of models and statistical methods;

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Integrated Population Biology and Modeling, Part A

methods of understanding populations and population dynamics. Chapters cover emerging topics of note, including Longevity dynamics, Modeling human;

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Energy Risk Modeling

Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through;

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Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

based on human mobility * An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques Analyzing and;

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Monte Carlo Methods In Mechanics Of Fluid And Gas

areas of science which are non-traditional for the use of statistical modeling (continuous media, turbulence). Considered are the possible;

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Modeling and Analysis of Bio molecular Networks

number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for;

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Modeling and Analysis of Bio molecular Networks

number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for;

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Statistical Methods for Modeling Human Dynamics

developed in the last few years. Highlights include an examination of: Statistical and mathematical modeling techniques for the analysis;

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Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment

-response modeling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for;

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Statistical Methods for the Evaluation of University Systems

include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the;

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A Journey from Robot to Digital Human

systems, as well as for digital human modeling and realistic motion generation. Following a comprehensive introduction to the fundamentals;

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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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Statistical Physics of Complex Systems

This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and;

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Modeling, Evaluating, and Predicting IT Human Resources Performance

) personnel. However, most methods neglect to account for the rigorous application and evaluation of human errors and their associated risks. This;

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Modeling Hydrologic Change: Statistical Methods

Modeling hydrologic changes and predicting their impact on watersheds is a dominant concern for hydrologists and other water resource;

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Microsurgery

for in vitro representation of human tissue and for representing tissue integrity during endovascular surgery simulation. Additionally;

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Human Behavior Learning and Transfer

abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and;

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Field Methods in Marine Science

Field Methods in Marine Science: From Measurements to Models is an authoritative guide of the methods most appropriate for field research;

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Pricing Analytics

statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about;

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Pricing Analytics

theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems;

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Dynamics of Statistical Experiments

processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical;

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Road Traffic Modeling and Management

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;

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Hierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods;

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Computing Brain Activity Maps from fMRI Time-Series Images

fMRI is a very popular method for researchers and clinicians to image human brain activity in response to given mental tasks. This book;

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