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1.

電子ブック
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1. Data Modeling for Metrology and Testing in Measurement Science
edited by Franco Pavese, Alistair B. Forbes
出版情報: Boston : Birkhäuser Boston, 2009
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4804-6
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2.

電子ブック
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2. Informal Introduction to Stochastic Processes with Maple
by Jan Vrbik, Paul Vrbik
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-4057-4
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Contents
Preface
Finite Markov Chains
Finite Markov Chains II
Branching Processes
Renewal Theory
Poisson Process
Birth and Death Processes I
Birth and Death Processes II
Continuous-Time Markov Chains
Brownian Motion
Autoregressive Models
Basic Probability Review
Maple Programming
References
Contents
Preface
Finite Markov Chains
3.

電子ブック
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3. Lectures on the Nearest Neighbor Method. 1st ed. 2015
by Gérard Biau, Luc Devroye
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Series in the Data Sciences ;
オンライン: http://dx.doi.org/10.1007/978-3-319-25388-6
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Part I: Density Estimation
Order Statistics and Nearest Neighbors
The Expected Nearest Neighbor Distance
The k-nearest Neighbor Density Estimate
Uniform Consistency
Weighted k-nearest neighbor density estimates
Local Behavior
Entropy Estimation
Part II: Regression Estimation
The Nearest Neighbor Regression Function Estimate
The 1-nearest Neighbor Regression Function Estimate
LP-consistency and Stone's Theorem
Pointwise Consistency
Advanced Properties of Uniform Order Statistics
Rates of Convergence
Regression: The Noisless Case
The Choice of a Nearest Neighbor Estimate
Part III: Supervised Classification
Basics of Classification
The 1-nearest Neighbor Classification Rule
The Nearest Neighbor Classification Rule. Appendix
Index.
Part I: Density Estimation
Order Statistics and Nearest Neighbors
The Expected Nearest Neighbor Distance
4.

電子ブック
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4. Statistical Analysis of Extreme Values : with Applications to Insurance, Finance, Hydrology and Other Fields. Third Edition
by Rolf-Dieter Reiss, Michael Thomas
出版情報: Basel : Birkhäuser Verlag AG, 2007
オンライン: http://dx.doi.org/10.1007/978-3-7643-7399-3
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電子ブック
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5. Introduction to Bayesian Scientific Computing : Ten Lectures on Subjective Computing
by Daniela Calvetti, Erkki Somersalo
出版情報: New York, NY : Springer Science+Business Media, LLC, 2007
シリーズ名: Surveys and Tutorials in the Applied Mathematical Sciences ; 2
オンライン: http://dx.doi.org/10.1007/978-0-387-73394-4
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