Interdisciplinary Bayesian Statistics

EBEB 2014

Marcelo Lauretto,Adriano Polpo,Francisco Louzada,Laura L. R. Rifo,Julio M. Stern

Springer Nature Proceedings excluding Computer Science

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言語　English
商品番号：9783319124544
発売日　2015年2月26日
出版社：Springer International Publishing

出版社： Springer
ファイル形式　EPUB2
サイズ　5.52 MB
ダウンロードオプション:EPUB2 (Adobe DRM)

シリーズの内容

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Adriano Polpo,Julio Stern,Francisco Louzada,Rafael Izbicki,Hellinton Takada

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Interdisciplinary Bayesian Statistics

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シリーズの内容

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

関連書籍

Applied Predictive Modeling

Applied Spatial Data Analysis with R

Statistics in Food Science and Nutrition

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Modern Issues and Methods in Biostatistics

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Introduction to Statistics

Designing and Conducting a Forest Inventory - case: 9th National Forest Inventory of Finland

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Atlas of Cancer Mortality in Poland 1975–1979

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials

Primer to Analysis of Genomic Data Using R

Phenotypes and Genotypes

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Recent Developments in Modeling and Applications in Statistics

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Advanced Techniques for Modelling Maternal and Child Health in Africa

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Intelligent Data Analysis in Medicine and Pharmacology

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Analysis of Genetic Association Studies

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Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Machine Learning in Medicine - Cookbook Two

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Topics on Methodological and Applied Statistical Inference

Distance Sampling: Methods and Applications

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