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Statistical Estimation Of Epidemiological Risk

Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent;

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Radiation Risk Estimation

estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological;

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Mathematical and Statistical Estimation Approaches in Epidemiology

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the;

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Epidemiological Research Methods

The concepts of epidemiology, the science that uses statistical methods to investigate associations between risk factors and disease;

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Toxicological Effects of Methylmercury

appropriate statistical methods for analysis of the data and thoroughly compares the epidemiological studies available on methylmercury. Included are;

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Statistical Models in Toxicology

. Discusses models that assess the risk of mixtures of chemicals. Presents statistical models that are developed for risk estimation;

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Statistical Models in Toxicology

that assess the risk of mixtures of chemicals. Presents statistical models that are developed for risk estimation in different aspects;

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Empirical Risk Modeling of Financial Time Series using Value at Risk

in risk assessment is concerned with the risk measure used, whereas the second module is based on the risk estimation technique. The process;

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Epidemiology

aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve;

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Nonparametric Finance

complex content Nonparametric function estimation has received little attention in the context of risk management and option pricing, despite;

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Advances in Heavy Tailed Risk Modeling

ADVANCES IN HEAVY TAILED RISK MODELING A cutting-edge guide for the theories, applications, and statistical methodologies essential to;

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Disease Prevention and Health Promotion in Developing Countries

mathematical models, epidemiological studies and statistical estimation of costs, the second part of this book shows the opportunities that exist for;

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Statistical Portfolio Estimation

framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many;

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Statistical Portfolio Estimation

framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many;

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Introductory Statistics with Applications in General Insurance

introductory, the authors discuss some more advanced topics, including simulation, calculation of risk premiums, credibility theory, estimation;

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Sports Biomechanics

the properties of biological materials, mechanisms of injury occurrence, risk reduction, and the estimation of forces in biological structures;

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Sports Biomechanics

the properties of biological materials, mechanisms of injury occurrence, risk reduction, and the estimation of forces in biological structures;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk;

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Epidemiology

of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses;

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Biostatistics and Computer-based Analysis of Health Data using R

Includes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalencePresents an;

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Success Probability Estimation with Applications to Clinical Trials

probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests. Devoted to both statisticians and;

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Statistical Methods for Financial Engineering

multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to;

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Statistical Methods for Financial Engineering

multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to;

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Nonparametric Function Estimation, Modeling, and Simulation

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory;

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Introduction to Bayesian Estimation and Copula Models of Dependence

, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management;

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Theory of Statistical Inference

) estimation, minimum risk equivariant (MRE) estimation and the Neyman-Pearson test. Finally, Part IV introduces large sample theory. This section;

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Methods of Statistical Model Estimation

Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models;

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