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Generalized linear models and extensions / M. Ataharul Islam, Soma Chowdhury Biswas
Generalized linear models and extensions / M. Ataharul Islam, Soma Chowdhury Biswas
Autore Islam, M. Ataharul
Pubbl/distr/stampa Singapore, : Springer, 2025
Descrizione fisica 1 testo elettronico (xvii, 266 p. : ill.)
Altri autori (Persone) Biswas, Soma C.
Soggetto topico 62-XX - Statistics [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Big Data Analytics
Data science models
Generalized linear Model
Linear Models
Longitudinal data analysis
Machine Learning
Repeated measures
Statistical models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00309815
Islam, M. Ataharul
Singapore, : Springer, 2025
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Lo trovi qui: Univ. Vanvitelli
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Lectures on Dependency : Selected Topics in Multivariate Statistics / Thorsten Dickhaus
Lectures on Dependency : Selected Topics in Multivariate Statistics / Thorsten Dickhaus
Autore Dickhaus, Thorsten
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xiv, 56 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Copula
Correlation
Covariance
Covariances of order statistics
Dependence
Equi-correlation matrices
Multivariate statistics
Normal distribution
Population correlation coefficient
Rearrangement algorithm
Skew-normal distributions
Stochastic-statistical dependencies
Weighted bootstrap
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277754
Dickhaus, Thorsten  
Cham, : Springer, 2022
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Lo trovi qui: Univ. Vanvitelli
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Lectures on Dependency : Selected Topics in Multivariate Statistics / Thorsten Dickhaus
Lectures on Dependency : Selected Topics in Multivariate Statistics / Thorsten Dickhaus
Autore Dickhaus, Thorsten
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xiv, 56 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Copula
Correlation
Covariance
Covariances of Order Statistics
Dependence
Equi-correlation matrices
Multivariate statistics
Normal distributions
Population correlation coefficient
Rearrangement algorithm
Skew-normal distributions
Stochastic-statistical dependencies
Weighted bootstrap
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00277754
Dickhaus, Thorsten  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
Autore Gupta, Shanti S.
Pubbl/distr/stampa New York, : Springer-Verlag, 1981
Descrizione fisica vii, 104 p. : ill. ; 24 cm
Altri autori (Persone) Huang, Deng-Yuan
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62F07 - Statistical ranking and selection procedures [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Correlation
Decision
Multiple testing
Normal distribution
Probability distribution
Random variables
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0268408
Gupta, Shanti S.  
New York, : Springer-Verlag, 1981
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Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
Multiple Statistical Decision Theory : Recent Developments / Shanti S. Gupta, Deng-Yuan Huang
Autore Gupta, Shanti S.
Pubbl/distr/stampa New York, : Springer-Verlag, 1981
Descrizione fisica vii, 104 p. : ill. ; 24 cm
Altri autori (Persone) Huang, Deng-Yuan
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62F07 - Statistical ranking and selection procedures [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Correlation
Decisions
Multiple testing
Normal distributions
Probability distributions
Random Variables
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the action space are the so-called multiple decision procedures. Several approaches to problems of multi­ ple decisions have been developed; in particular, the last decade has witnessed a phenomenal growth of this field. An important aspect of the recent contributions is the attempt by several authors to formalize these problems more in the framework of general decision theory. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field. Our comments and contributions have been written in a positive spirt and, hopefully, these will an impact on the future direction of research in this field. Using the various viewpoints and frameworks, we have emphasized recent developments in the theory of selection and ranking ~Ihich, in our opinion, provides one of the main tools in this field. The growth of the theory of selection and ranking has kept apace with great vigor as is evidenced by the publication of two recent books, one by Gibbons, Olkin and Sobel (1977), and the other by Gupta and Panchapakesan (1979). An earlier monograph by Bechhofer, Kiefer and Sobel (1968) had also provided some very interest­ ing work in this field.
Record Nr. UNICAMPANIA-VAN00268408
Gupta, Shanti S.  
New York, : Springer-Verlag, 1981
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah
Practicing R for Statistical Computing / Muhammad Aslam, Muhammad Imdad Ullah
Autore Aslam, Muhammad
Pubbl/distr/stampa Singapore, : Springer, 2023
Descrizione fisica xvii, 292 p. : ill. ; 24 cm
Altri autori (Persone) Ullah, Muhammad Imdad
Soggetto topico 05A10 - Factorials, binomial coefficients, combinatorial functions [MSC 2020]
05C50 - Graphs and linear algebra (matrices, eigenvalues, etc.) [MSC 2020]
11K45 - Pseudo-random numbers; Monte Carlo methods [MSC 2020]
60E05 - Probability distributions: general theory [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62F10 - Point estimation [MSC 2020]
62G10 - Nonparametric hypothesis testing [MSC 2020]
62H17 - Contingency tables [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
62K10 - Statistical block designs [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
65C10 - Random number generation in numerical analysis [MSC 2020]
65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020]
68N15 - Theory of programming languages [MSC 2020]
97P40 - Programming languages (educational aspects) [MSC 2020]
97P50 - Programming techniques (educational aspects) [MSC 2020]
Soggetto non controllato Computing Statistics using R
Data Analysis Using R Language
Data Handling
Learning statistics using R
R for statistical simulation
R language
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00279268
Aslam, Muhammad  
Singapore, : Springer, 2023
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Testing Statistical Hypotheses / E. L. Lehmann, Joseph P. Romano
Testing Statistical Hypotheses / E. L. Lehmann, Joseph P. Romano
Autore Lehmann, Erich Leo
Edizione [4. ed]
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xv, 1012 p. : ill. ; 24 cm
Altri autori (Persone) Romano, Joseph P.
Soggetto topico 60F05 - Central limit and other weak theorems [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Best fit
Excel
Resampling
Statistical Hypotheses
Statistical Theory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278173
Lehmann, Erich Leo  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Testing Statistical Hypotheses / E. L. Lehmann, Joseph P. Romano
Testing Statistical Hypotheses / E. L. Lehmann, Joseph P. Romano
Autore Lehmann, Erich Leo
Edizione [4. ed]
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xv, 1012 p. : ill. ; 24 cm
Altri autori (Persone) Romano, Joseph P.
Soggetto topico 60F05 - Central limit and other weak theorems [MSC 2020]
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020]
62J15 - Paired and multiple comparisons; multiple testing [MSC 2020]
Soggetto non controllato Best Fits
Excel
Resampling
Statistical Hypotheses
Statistical Theory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00278173
Lehmann, Erich Leo  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui