Ergebnisse für: Non-parametric Regression Methods

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Buch Cover Applications of Time Series Forecasting Models, Decomposition Methods, Non-parametric Regression Methods, and Artificial Neural Networks

Applications of Time Series Forecasting Models, Decomposition Methods, Non-parametric Regression Methods, and Artificial Neural Networks

Fatlinda Shaqiri
Fraunhofer Verlag
88 € · Paperback

Time Series Forecasting Models Regression Artificial Neural Networks Decomposition Methods Non-parametric Regression Methods Applied Mathematicians, Electricity Forecaster, Health Insurers, Data Scientists

This thesis offers a thorough review of time series forecasting models, starting with simple forecasting methods such as linear models and ending up combining this method with dynamic models to represent interdependencies of the time series dynamics. Decomposition methods such as those from X-11 met...

Probiotics and Prebiotics in Pediatrics

MDPI
€ · Paperback

sparse robust divergence MM algorithm Bregman divergence generalized linear model local-polynomial regression model check nonparametric test quasi-likelihood semiparametric model Wald statistic composite likelihood maximum composite likelihood estimator Wald test statistic

This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, base...

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