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1.

電子ブック

EB
by Zheng Gao, Stilian Stoev
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Probability and Mathematical Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-80964-5
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目次情報: 続きを見る
Chapter 1 Introduction and Guiding Examples
Chapter 2 Risks, Procedures, and Error Models
Chapter 3 A Panorama of Phase Transitions
Chapter 4 Exact Support Recovery Under Dependence
Chapter 5 Bayes and Minimax Optimality
Chapter 6 Uniform Relative Stability for Gaussian Array
Chapter 7 Fundamental Statistical Limits in Genome-wide Association Studies
References
Additional proofs
Exact support recovery in non AGG models
Chapter 1 Introduction and Guiding Examples
Chapter 2 Risks, Procedures, and Error Models
Chapter 3 A Panorama of Phase Transitions
2.

電子ブック

EB
by E.L. Lehmann, Joseph P. Romano
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Texts in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-70578-7
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1. The General Decision Problem
2. The Probability Background
3. Uniformly Most Powerful Tests
4. Unbiasedness: Theory and First Applications
5. Unbiasedness: Applications to Normal Distributions
6. Invariance
7. Linear Hypotheses
8. The Minimax Principle
9. Multiple Testing and Simultaneous Inference
10. Conditional Inference
11. Basic Large Sample Theory
12. Extensions of the CLT to Sums of Dependent Random Variables
13. Applications to Inference
14. Quadratic Mean Differentiable Families
15. Large Sample Optimality
16. Testing Goodness of Fit
17. Permutation and Randomization Tests
18. Bootstrap and Subsampling Methods
A. Auxiliary Results
1. The General Decision Problem
2. The Probability Background
3. Uniformly Most Powerful Tests
3.

電子ブック

EB
edited by Isadora Antoniano-Villalobos, Ruth Fuentes-García, Lizbeth Naranjo, Luis E. Nieto-Barajas, Silvia Ruiz-Velasco Acosta
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 397
オンライン: https://doi.org/10.1007/978-3-031-12778-6
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A methodological proposal to model and evaluate the complexity of the Mexican geo-electoral system(Hernandez et al.)
A spatial analysis of drug dealing in Mexico City (Hernandez)
Bayesian Hierarchical Multinomial Modeling of the 2021 Mexican Election Outcomes with Censored Samples(Anzarut et al.)
Assessing hospitalization for SARS-CoV-2 confirmed cases by a cross-entropy weighted ensemble classifier(Barcenas et al.)
Emotion analysis to identify risk of committing suicide using statistical learning (Esparza et al.).-Characterizing groups using latent class mixed models: antiretroviral treatment adherence analysis (Fuentes-Garcıa et al.)
A dynamic model for analyzing the public health policy of the Mexican government during the COVID-19 pandemic (Guerrero-Flores et al.)
Social lag in the municipalities of the state of Guerrero, México (Guzmán-Martínez et al.)
Challenges in performing the Quick Counts of the National Electoral Institute in Mexico (Orantes-Jordan et al.)
Sampling design and poststratification to correct lack of information in bayesian quick counts (Perez-Perez et al.)
Maximum Likelihood Estimation for a Markov-Modulated Jump-Diffusion Model (Reynoso et al.)
Estimating the Composition of the Chamber of Deputies in the Quick Count for the 2021 Federal Election in Mexico (Rodr´ıguez)
Bayesian Analysis of Homicide Rates in Mexico from 2000 to 2012 (Sanchez-Casta neda et al.)
A methodological proposal to model and evaluate the complexity of the Mexican geo-electoral system(Hernandez et al.)
A spatial analysis of drug dealing in Mexico City (Hernandez)
Bayesian Hierarchical Multinomial Modeling of the 2021 Mexican Election Outcomes with Censored Samples(Anzarut et al.)
4.

電子ブック

EB
by Sahana Prasad
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-981-19-0596-4
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目次情報: 続きを見る
1. Concepts in Research and Data Analysis
2. Descriptive Statistics
3. Probability and Distributions
4. Correlation and Regression
5. Statistical Inference
1. Concepts in Research and Data Analysis
2. Descriptive Statistics
3. Probability and Distributions