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1.

電子ブック

EB
by Stefan Bedbur, Udo Kamps
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-81900-2
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目次情報: 続きを見る
Introduction
Parametrizations and Basic Properties
Distributional and Statistical Properties
Parameter Estimation
Hypotheses Testing
Exemplary Multivariate Applications
Introduction
Parametrizations and Basic Properties
Distributional and Statistical Properties
2.

電子ブック

EB
by Raimon Tolosana-Delgado, Ute Mueller
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-030-82568-3
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1 Introduction
2 A review of compositional data analysis
3 Exploratory data analysis
4 Exploratory spatial analysis
5 Variogram Models
6 Geostatistical estimation
7 Cross-validation
8 Multivariate normal score transformation
9 Simulation
10 Compositional Direct Sampling Simulation
11 Evaluation and Postprocessing of Results
A Matrix decompositions
B Complete data analysis workflows
Index
1 Introduction
2 A review of compositional data analysis
3 Exploratory data analysis
3.

電子ブック

EB
edited by Sebastià Xambó-Descamps
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: ICIAM 2019 SEMA SIMAI Springer Series ; 13
オンライン: https://doi.org/10.1007/978-3-030-74486-1
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1 I. Zaplana, New Perspectives on Robotics with Geometric Calculus
2 C. Lavor and R. Alves, Recent advances on oriented conformal geometric algebra applied to molecular distance geometry
3 S. Franchini and S. Vitabile, Geometric Calculus Applications to Medical Imaging: Status and Perspectives
4 L. Dorst, Optimal Combination of Orientation Measurements Under Angle, Axis and Chord Metrics
5 P. Colapinto, Space-Bending Lattices through Conformal Transformation of Principal Contact Elements
6 L. A. F. Fernandes, Exploring Lazy Evaluation and Compile-Time Simplifications for Efficient Geometric Algebra Computations
7 E. U. Moya-Sánchez et al., A Quaternion Deterministic Monogenic CNN Layer for Contrast Invariance
8 S. Xambó-Descamps et al., Geometric Calculi and Automatic Learning: An Overview
1 I. Zaplana, New Perspectives on Robotics with Geometric Calculus
2 C. Lavor and R. Alves, Recent advances on oriented conformal geometric algebra applied to molecular distance geometry
3 S. Franchini and S. Vitabile, Geometric Calculus Applications to Medical Imaging: Status and Perspectives
4.

電子ブック

EB
by Shizuhiko Nishisato, Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 8
オンライン: https://doi.org/10.1007/978-981-16-2470-4
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Personal Reflections
Mathematical Preliminaries
Data Formats and Geometry
Coordinates for Joint Graphs
Clustering as an Alternative
Scoring and Profiles
Some Generalizations of Reciprocal Averaging
History of the Biplot
Biplots for Variants of Correspondence Analysis
Personal Reflections
Mathematical Preliminaries
Data Formats and Geometry
5.

電子ブック

EB
by Vasilis Pagonis
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-030-67311-6
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1. Introduction
2. Analysis and Modeling of TL Data
3. Analysis of Experimental OSL Data
4. Dose Response of Dosimetric Materials
5. Monte Carlo Simulations With Fixed Time Interval
6. Luminescence as a Stochastic Life-and-Death Process
7. Delocalized Transitions: The R Package RLumCarlo
8. Localized Transitions: The R Package RLumCarlo
9. Quantum Tunneling and Luminescence Models
10. Quantum Tunneling: The R Package RLumCarlo
11. Comprehensive Quartz Models Using Program KMS
12. Quartz Models Using the R-Package RLumModel
1. Introduction
2. Analysis and Modeling of TL Data
3. Analysis of Experimental OSL Data
6.

電子ブック

EB
by Patrick J. Laub, Young Lee, Thomas Taimre
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-84639-8
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Background
Hawes Process Essentials
Simulation Methods
Likelihood Methods
EM Algorithm
Bayesian Methods
Spectral Methods
Goodness of Fit
Traditional Applications
Financial and Actuarial Applications
Biological Applications
Background
Hawes Process Essentials
Simulation Methods
7.

電子ブック

EB
by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Excel for Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-63238-0
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Preface
Acknowledgements
1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
2 Random Number Generator
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
4 One-Group t-Test for the Mean
5 Two-Group t-Test of the Difference of the Means for Independent Groups
6 Correlation and Simple Linear Regression
7 Multiple Correlation and Multiple Regression
8 One-Way Analysis of Variance (ANOVA)
Appendix A: Answers to End-of-Chapter Practice Problems
Appendix B: Practice Test
Appendix C: Answers to Practice Test
Appendix D: Statistical Formulas
Appendix E: t-table
Index
Preface
Acknowledgements
1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
8.

電子ブック

EB
edited by Peregrina Quintela Estévez, Bartomeu Coll, Rosa M. Crujeiras, José Durany, Laureano Escudero
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SxI - Springer for Innovation / SxI - Springer per l'Innovazione ; 15
オンライン: https://doi.org/10.1007/978-3-030-59223-3
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1. Perez, Hector D. and Grossmann, Ignacio E., Recent Advances in Computational Models for the Discrete and Continuous Optimization of Industrial Process Systems
2 Casal, G. at al., Optimal Design of a Railway Bypass at Parga, Northwest of Spain
3. Parolini, N. et al., Reduced models for liquid food packaging systems
4. Martín, E. et al., Reduced order modelling in the manufacturing process of wire rod: Applications for fast temperature predictions and optimal selection of process parameters
5. Coroas, C. and Martín, Elena B., Modelling and numerical simulation of the quenching heat treatment. Application to the industrial quenching of automotive spindles
6. Alborés, Alfredo R. and Rodríguez, J., Single Particle Models for the Numerical Simulation of Lithium-ion Cells
7. Casasnovas, D. and Rivero, Á., Fracture propagation using a phase field approach
8. López García, J. and Rivero, Á., Phase space learning with neural networks
1. Perez, Hector D. and Grossmann, Ignacio E., Recent Advances in Computational Models for the Discrete and Continuous Optimization of Industrial Process Systems
2 Casal, G. at al., Optimal Design of a Railway Bypass at Parga, Northwest of Spain
3. Parolini, N. et al., Reduced models for liquid food packaging systems
9.

電子ブック

EB
by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Excel for Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-66277-6
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目次情報: 続きを見る
Preface
Acknowledgements
1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
2 Random Number Generator
3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
4 One-Group t-Test for the Mean
5 Two-Group t-Test of the Difference of the Means for Independent Groups
6 Correlation and Simple Linear Regression
7 Multiple Correlation and Multiple Regression
8 One-Way Analysis of Variance (ANOVA)
Appendix A: Answers to End-of-Chapter Practice Problems
Appendix B: Practice Test
Appendix C: Answers to Practice Test
Appendix D: Statistical Formulas
Appendix E: t-table
Index
Preface
Acknowledgements
1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
10.

電子ブック

EB
by Hartmut Schiefer, Felix Schiefer
出版情報: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-658-32397-4
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Statistical Design of Experiments (DoE)
Characterizing the Sample and Population
Statistical Measurement Data and Production
Error Analysis (Error Calculation)
Statistical Tests
Correlation
Regression
Statistical Design of Experiments (DoE)
Characterizing the Sample and Population
Statistical Measurement Data and Production