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1. Recent Developments in Multivariate and Random Matrix Analysis : Festschrift in Honour of Dietrich von Rosen. 1st ed. 2020
edited by Thomas Holgersson, Martin Singull
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56773-6
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2. Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya. 1st ed. 2020
edited by Nobuaki Hoshino, Shuhei Mano, Takaaki Shimura
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: JSS Research Series in Statistics ;
オンライン: https://doi.org/10.1007/978-981-15-9663-6
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Gibbs Base Random Partitions
Asymptotic and approximate discrete distributions for length of Ewens sampling formula
An Error Bound for the Normal Approximation to the Length of a Ewens Partition
Distribution of Number of Levels in [s]-specified Random Permutation
Properties of General Systems of Orthogonal Polynomials with Symmetric Matrix Argument
Conjugate Analysis under Jeffreys' Prior with its Implications to Likelihood Inference
Gibbs Base Random Partitions
Asymptotic and approximate discrete distributions for length of Ewens sampling formula
An Error Bound for the Normal Approximation to the Length of a Ewens Partition
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3. Contributions on Theory of Mathematical Statistics. 1st ed. 2020
by Kei Takeuchi
出版情報: Tokyo : Springer Japan : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-4-431-55239-0
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Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
2 Unbiased Estimation in Case of the Class of Distributions of Finite Rank
3 Some Theorems on Invariant Estimators of Location
Part III Robust Estimation
4 Robust Estimation and Robust Parameter
5 Robust Estimation of Location in the Case of Measurement of Physical Quantity
6 A Uniformly Asymptotically Efficient Estimator of a Location Parameter
Part IV Randomization
7 Theory of Randomized Designs
8 Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population
Part V Tests of Normality
9 The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution
10 Tests of Univariate Normality
11 The Tests for Multivariate Normality
Part VI Model Selection
12 On the Problem of Model Selection Based on the Data.-Part VII Asymptotic Approximation
13 On Sum of 0-1 Random Variables (I. Univariate Case)
14 On Sum of 0-1 Random Variables (II. Multivariate Case)
15 Algebraic Properties and Validity of Univariate and Multivariate Cornish-Fisher Expansion
Part I Statistical Prediction
1 Theory of Statistical Prediction
Part II Unbiased Estimation
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4. Statistical Data Analysis and Entropy. 1st ed. 2020
by Nobuoki Eshima
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 3
オンライン: https://doi.org/10.1007/978-981-15-2552-0
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Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
Analysis of continuous variables
Entropy and basic statistics
Analysis of the association in two-way contingency tables
Analysis of the association in multiway contingency tables
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5. Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts. 1st ed. 2020
by Paola Lecca
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-41255-5
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1 Complex systems and sets of data
2 Dynamic models
3 Model identifiability
4 Relationships between phenomena
5 Codes
1 Complex systems and sets of data
2 Dynamic models
3 Model identifiability
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6. Eserciziario di Statistica Inferenziale. 1st ed. 2020
by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni
出版情報: Milano : Springer Milan : Imprint: Springer, 2020
シリーズ名: La Matematica per il 3+2 ; 120
オンライン: https://doi.org/10.1007/978-88-470-3995-7
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Parte I Statistica inferenziale
1 Fondamenti di probabilità e statistica
2 Statistiche sufficienti, minimali e complete
3 Stimatori puntuali
4 UMVUE
5 Likelihood Ratio Test
6 Test uniformemente più potente
7 Intervalli di Confidenza
8 Statistica Asintotica
Parte II Modelli di regressione e analisi della varianza
9 Regressione lineare
10 Modelli lineari generalizzati
11 ANOVA: analisi della varianza
12 Esercizi di riepilogo
Appendice A: Distribuzioni di probabilità
Parte I Statistica inferenziale
1 Fondamenti di probabilità e statistica
2 Statistiche sufficienti, minimali e complete
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7. Functional and High-Dimensional Statistics and Related Fields. 1st ed. 2020
edited by Germán Aneiros, Ivana Horová, Marie Hušková, Philippe Vieu
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Contributions to Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-47756-1
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Preface
List of Contributors
1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
2 Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization
3 Some Numerical Test on the Convergence Rates of Regression with Differential Regularization
4 Learning with Signatures
5 About the Complexity Function in Small-ball Probability Factorization
6 Principal Components Analysis of a Cyclostationary Random Function
7 Level Set and Density Estimation on Manifolds
8 Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression
9 Testing a Specification Form in Single Functional Index Model
10 A New Method for Ordering Functional Data and its Application to Diagnostic Test
11 A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions
12 A Conformal Approach for Distribution-free Prediction of Functional Data
13 G-Lasso Network Analysis for Functional Data
14 Modelling Functional Data with High-dimensional Error Structure
15 Goodness-of-fit Tests for Functional Linear Models Based on Integrated Projections
16 From High-dimensional to Functional Data: Stringing Via Manifold Learning
17 Functional Two-sample Tests Based on Empirical Characteristic Functionals
18 Some Remarks on the Nelson–Siegel Model
19 Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
20 On Robust Training of Regression Neural Networks
21 Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach
22 Single Functional Index Model under Responses MAR and Dependent Observations
23 O2S2 for the Geodata Deluge
24 Riemannian Distances between Covariance Operators and Gaussian Processes
25 Depth in Infinite-dimensional Spaces
26 Variable Selection in Semiparametric Bi-functional Models
27 Local Inference for Functional Data Controlling the Functional False Discovery Rate
28 Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation
29 Generalized Functional Partially Linear Single-index Models
30 Functional Outlier Detection through Probabilistic Modelling
31 Topological Object Data Analysis Methods with an Application to Medical Imaging
32 Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
Authors Index
Preface
List of Contributors
1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
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8. Copula-Based Markov Models for Time Series : Parametric Inference and Process Control. 1st ed. 2020
by Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim, Takeshi Emura
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: JSS Research Series in Statistics ;
オンライン: https://doi.org/10.1007/978-981-15-4998-4
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Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models
Chapter 3 Estimation, model diagnosis, and process control under the normal model
Chapter 4 Estimation under the normal mixture model for financial time series data
Chapter 5 Bayesian estimation under the t-distribution for financial time series data
Chapter 6 Control charts of mean and variance using copula Markov SPC and conditional distribution by copula
Chapter 7 Copula Markov models for count series with excess zeros
Chapter 1 Overview of the book with data examples. -Chapter 2 Copula and Markov models
Chapter 3 Estimation, model diagnosis, and process control under the normal model
Chapter 4 Estimation under the normal mixture model for financial time series data
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9. Design of Observational Studies. 2nd ed. 2020
by Paul R. Rosenbaum
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-46405-9
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Part I Beginnings
1 Dilemmas and Craftsmanship
2 Causal Inference in Randomized Experiments
3 Two Simple Models for Observational Studies
4 Competing Theories Structure Design
5 Opportunities, Devices, and Instruments
6 Transparency
7 Some Counterclaims Undermine Themselves
Part II Matching
8 A Matched Observational Study
9 Basic Tools of Multivariate Matching
10 Various Practical Issues in Matching
11 Fine Balance
12 Matching Without Groups
13 Risk-Set Matching
14 Matching in R
Part III Design Sensitivity
15 The Power of a Sensitivity Analysis and Its Limit
16 Heterogeneity and Causality
17 Uncommon but Dramatic Responses to Treatment
18 Anticipated and Discovered Patterns of Response
19 Choice of Test Statistic
Part IV Enhanced Design
20 Evidence Factors
21 Constructing Several Comparison Groups
Part V Planning Analysis
22 After Matching, Before Analysis
23 Planning the Analysis
Summary: Key Elements of Design
Solutions to Common Problems
Symbols
Acronyms
Glossary of Statistical Terms
Further Reading
Suggested Readings for a Course
Index
Part I Beginnings
1 Dilemmas and Craftsmanship
2 Causal Inference in Randomized Experiments
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10. Regression Models for the Comparison of Measurement Methods. 1st ed. 2020
by Heleno Bolfarine, Mário de Castro, Manuel Galea
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics - ABE ;
オンライン: https://doi.org/10.1007/978-3-030-57935-7
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- Introduction
Two Methods
Two or More Methods
Model Checking and Influence Assessment
Data Analysis
Miscellaneous Results
R Scripts
Index
- Introduction
Two Methods
Two or More Methods