close
1.

電子ブック
ＥＢ
1. Frontiers in Statistical Quality Control 8
edited by Hans-Joachim Lenz, Peter-Theodor Wilrich
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2006
オンライン: http://dx.doi.org/10.1007/3-7908-1687-6
所蔵情報: loading…
2.

電子ブック
ＥＢ
2. Stochastic Simulation
edited by Søren Asmussen, Peter W. Glynn
出版情報: New York : Springer Science+Business Media, LLC, 2007
シリーズ名: Stochastic Modelling and Applied Probability ; 57
オンライン: http://dx.doi.org/10.1007/978-0-387-69033-9
所蔵情報: loading…
3.

電子ブック
ＥＢ
3. Design and Analysis of Simulation Experiments
by Jack P.C. Kleijnen
出版情報: Boston, MA : Springer Science+Business Media, LLC, 2008
シリーズ名: International Series in Operations Research & Management Science ; 111
オンライン: http://dx.doi.org/10.1007/978-0-387-71813-2
所蔵情報: loading…
4.

電子ブック
ＥＢ
4. Frontiers in Statistical Quality Control 9
edited by Hans-Joachim Lenz, Peter-Theodor Wilrich, Wolfgang Schmid
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
オンライン: http://dx.doi.org/10.1007/978-3-7908-2380-6
所蔵情報: loading…
5.

電子ブック
ＥＢ
5. Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice. 1st ed. 2021
edited by Nicolas Bousquet, Pietro Bernardara
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-74942-2
所蔵情報: loading…
目次情報: 続きを見る
1 E. Garnier: Extreme Events and History: for a better consideration of natural hazards
2 N. Bousquet and P. Bernardara: Introduction
Part I Standard Extreme Value Theory
3 P. Bernardara and N. Bousquet: Probabilistic modeling and statistical quantification of natural hazards
4 N. Bousquet: Fundamental concepts of probability and statistics
5 M. Andreewsky and N. Bousquet: Collecting and analyzing data
6 A. Dutfoy: Univariate extreme value theory: practice and limitations
Part II Elements of Extensive Statistical Analysis
7 J. Weiss and M. Andreewsky: Regional extreme value analysis
8 S. Parey, T. Hoang: Extreme values of non-stationary time series
9 A. Dutfoy: Multivariate extreme value theory: practice and limits
10 S., T. Hoang and N. Bousquet: Stochastic and physics-based simulation of extreme situations
11 N. Bousquet: Bayesian extreme value theory
12 M. Andreewsky, P. Bernardara, N. Bousquet, A. Dutfoy and S. Parey: Perspectives
Part III Detailed Case Studies on Natural Hazards
13 P. Bernardara: Predicting extreme ocean swells
14 M. Andreewsky: Predicting storm surges
15 S. Parey: Forecasting extreme winds
16 N. Roche and A. Dutfoy: Conjunction of rainfall in neighboring watersheds
17 A. Sibler and A. Dutfoy: Conjunction of a flood and a storm
18 E. Paquet: SCHADEX: an alternative to extreme value statistics in hydrology
Appendix A
Appendix B
References
Index
1 E. Garnier: Extreme Events and History: for a better consideration of natural hazards
2 N. Bousquet and P. Bernardara: Introduction
Part I Standard Extreme Value Theory
6.

電子ブック
ＥＢ
6. Uncertainty in Engineering : Introduction to Methods and Applications. 1st ed. 2022
edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-83640-5
所蔵情報: loading…
目次情報: 続きを見る
Introduction to Bayesian statistical inference
Sampling from complex probability distributions: a Monte Carlo primer for engineers
Introduction to the theory of imprecise probability
Imprecise discrete-time Markov chains
Statistics with imprecise probabilities – a short survey
Reliability
Simulation methods for the analysis of complex systems
Overview of stochastic model updating in aerospace application under uncertainty treatment
Aerospace flight modeling and experimental testing
Introduction to Bayesian statistical inference
Sampling from complex probability distributions: a Monte Carlo primer for engineers
Introduction to the theory of imprecise probability
7.

電子ブック
ＥＢ
7. Modern Statistics : A Computer-Based Approach with Python. 1st ed. 2022
by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2022
シリーズ名: Statistics for Industry, Technology, and Engineering ;
オンライン: https://doi.org/10.1007/978-3-031-07566-7
所蔵情報: loading…
目次情報: 続きを見る
Analyzing Variability: Descriptive Statistics
Probability Models and Distribution Functions
Statistical Inference and Bootstrapping
Variability in Several Dimensions and Regression Models
Sampling for Estimation of Finite Population Quantities
Time Series Analysis and Prediction
Modern analytic methods: Part I
Modern analytic methods: Part II
Introduction to Python
List of Python packages
Code Repository and Solution Manual
Bibliography
Index
Analyzing Variability: Descriptive Statistics
Probability Models and Distribution Functions
Statistical Inference and Bootstrapping