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1. Particle emission concept and probabilistic consideration of the development of infections in systems : Dynamics from logarithm and exponent in the infection process, percolation effects. 1st ed. 2021
by Marcus Hellwig
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-69500-2
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Trends in the spread of infections, distribution and contact rates
Addition of the 4th parameter kurtosis to the density Eqb
Prediction using the density function and continuous adjustment of the parameters
Basics for exponential propagation, the logarithm of historical data
Developments in the USA
Incidence under probabilistic aspects
On the percolation theory COVID
Examples of percolation effects
Trends in the spread of infections, distribution and contact rates
Addition of the 4th parameter kurtosis to the density Eqb
Prediction using the density function and continuous adjustment of the parameters
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2. Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains. 1st ed. 2022
edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-031-13971-0
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Preface
PART 1: Trends in Multi- and Matrix-Variate Analysis
Q. Guo, X. Deng and N. Ravishanker: Association-based Optimal Subpopulation Selection of Multivariate Data
T. B. Mattos, L. A. Matos, V. H Lachos Aldo: Likelihood-Based Inference For Linear Mixed-Effects Models With Censored Response Using Skew-Normal Distribution
Y. Melnykov, M. Perry, V. Melnykov: Robust Estimation of Multiple Change Points in Multivariate Processes
T. Botha, J. T Ferreira and A. Bekker: Some Computational Aspects Of A Noncentral Dirichlet Family
Y. Murat Bulut and Olcay Arslan: Modeling Handwritten Digits Dataset Using The Matrix Variate T Distribution
B. Byukusenge, D. von Rosen and M. Singull: On The Identification Of Extreme Elements In A Residual For The Gmanova-Manova Model
M. Billio, R. Casarin, M. Costola and M. Iacopini: Matrix-variate Smooth Transition Models for Temporal Networks
H. Baghishani and J. Ownuk: A Flexible Matrix-Valued Response Regression For Skewed Data
J. Trink, H. Haghbin and M. Maadooliat: Multivariate Functional Singular Spectrum Analysis: A Nonparametric Approach for Analyzing Functional Time Series
M. Greenacre: Compositional Data Analysis — Linear Algebra, Visualization And Interpretation
A. Alzaatreh, F. Famoye and C. Lee: Multivariate Count Data Regression Models And Their Applications
A. Iranmanesh, M. Rafiei and D. Nagar: A Generalized Multivariate Gamma Distribution
PART 2: Aspects of High Dimensional Methodology and Bayesian Learning
G. D' Angella and C. Hennig: A Comparison Of Different Clustering Approaches For High-Dimensional Presence-Absence Data
S. Millard, M. Arashi and G. Maribe: High-Dimensional Feature Selection For Logistic Regression Using Blended Penalty Functions
I. Munaweera, S. Muthukumarana and M. Jafari Jozani: A Generalized Quadratic Garrote Approach Towards Ridge Regression Analysis
M. Roozbeh: High Dimensional Nonlinear Optimization Problem In Semiparametric Regression Model
PART 3: Frontiers in Robust Analysis and Mixture Modelling
A. Punzo and S. D. Tomarchia: Parsimonious Finite Mixtures Of Matrix-Variate Regressions
F. Zehra Doğru and Olcay Arslan:Robust Multivariate Modelling for Heterogeneous Data Sets With Mixtures of Multivariate Skew Laplace Normal Distributions
M. Norouzirad, M. Arashi, F. J Marques and F. Esmaeili: Robust Estimation Through Preliminary Testing Based On The Lad-Lasso
Preface
PART 1: Trends in Multi- and Matrix-Variate Analysis
Q. Guo, X. Deng and N. Ravishanker: Association-based Optimal Subpopulation Selection of Multivariate Data
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3. Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate. 1st ed. 2022
by Tejas A. Desai
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/10.1007/978-3-030-99888-2
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1. Introduction
2. An Introduction to the Bootstrap
3. An Introduction to the False Discovery Rate
4. Application to ANOVA and MANOVA
5. Application to Testing Equality of Several Variances and Several Covariance Matrices
6. Application to Testing Equality of Several Medians
7. Testing for Symmetry of Univariate Distributions and Central Symmetry of Multivariate Distributions
1. Introduction
2. An Introduction to the Bootstrap
3. An Introduction to the False Discovery Rate
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4. Quantitative Psychology : The 86th Annual Meeting of the Psychometric Society, Virtual, 2021. 1st ed. 2022
edited by Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 393
オンライン: https://doi.org/10.1007/978-3-031-04572-1
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1. Some Adventures in Reliability Estimation
2. Detecting testlet effects in cognitive diagnosis models
3. Comparison of Estimation Algorithms for Latent Dirichlet Allocation
4. Relationship between students' test results and their performance in higher education using dierent test scores
5. Statistical Properties of Lower Bounds and Factor Analysis Methods for Reliability Estimation
1. Some Adventures in Reliability Estimation
2. Detecting testlet effects in cognitive diagnosis models
3. Comparison of Estimation Algorithms for Latent Dirichlet Allocation