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## Search Articles

07/2004, ISBN 9781584884316, 420

... scattered throughout the literature. The main goal of this research area is to develop flexible parametric classes of distributions beyond the classical normal distribution...

STATSnetBASE | Statistical Theory & Methods | Statistics for the Biological Sciences | STMnetBASE | SCI-TECHnetBASE | Geostatistics | Multivariate analysis | Distribution (Probability theory) | Skew fields

STATSnetBASE | Statistical Theory & Methods | Statistics for the Biological Sciences | STMnetBASE | SCI-TECHnetBASE | Geostatistics | Multivariate analysis | Distribution (Probability theory) | Skew fields

eBook

Journal of the Royal Statistical Society. Series B, Statistical methodology, ISSN 1467-9868, 05/2003, Volume 65, Issue 2, pp. 367 - 389

.... The approach is sufficiently general to encompass some recent proposals in the literature, variously related to the skew normal distribution...

Gaussian distributions | Degrees of freedom | Scalars | Mathematical independent variables | Inference | Random variables | Steels | Mathematical expressions | T distribution | Distribution functions | Asymmetry | Elliptical distributions | Quadratic forms | Multivariate t‐distribution | Skewness | Central symmetry | Healy's plot | Skew normal distribution | Multivariate t-distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology

Gaussian distributions | Degrees of freedom | Scalars | Mathematical independent variables | Inference | Random variables | Steels | Mathematical expressions | T distribution | Distribution functions | Asymmetry | Elliptical distributions | Quadratic forms | Multivariate t‐distribution | Skewness | Central symmetry | Healy's plot | Skew normal distribution | Multivariate t-distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology

Journal Article

The Astrophysical journal, ISSN 0004-637X, 06/2017, Volume 841, Issue 2, p. 127

.... We use the global fitting technique of Pejcha & Prieto to estimate a set of physical parameters of 19 normal SNe II, such as their distance moduli, reddenings, Ni-56...

supernovae: general | nuclear reactions nucleosynthesis abundances | methods: data analysis | Physical Sciences | Astronomy & Astrophysics | Science & Technology | Collapse | Supernova | Parameter estimation | Supernovae | Skewed distributions | Luminosity | Gaussian distribution | Mass distribution | Bolometers | Explosions | Physical properties | Massive stars | Photosphere | Neutrinos | Progenitors (astrophysics) | Nickel | Light curve

supernovae: general | nuclear reactions nucleosynthesis abundances | methods: data analysis | Physical Sciences | Astronomy & Astrophysics | Science & Technology | Collapse | Supernova | Parameter estimation | Supernovae | Skewed distributions | Luminosity | Gaussian distribution | Mass distribution | Bolometers | Explosions | Physical properties | Massive stars | Photosphere | Neutrinos | Progenitors (astrophysics) | Nickel | Light curve

Journal Article

Journal of the Royal Statistical Society. Series B, Statistical methodology, ISSN 1467-9868, 08/1999, Volume 61, Issue 3, pp. 579 - 602

Azzalini and Dalla Valle have recently discussed the multivariate skew normal distribution which extends the class of normal distributions by the addition of a shape parameter...

Discriminants | Maximum likelihood estimation | Gaussian distributions | Mathematical independent variables | Scalars | Matrices | Random variables | Parameterization | Skewed distribution | Statistics | Multivariate normal distribution | Elliptical distributions | Quadratic forms | Skewness | Skew normal distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology

Discriminants | Maximum likelihood estimation | Gaussian distributions | Mathematical independent variables | Scalars | Matrices | Random variables | Parameterization | Skewed distribution | Statistics | Multivariate normal distribution | Elliptical distributions | Quadratic forms | Skewness | Skew normal distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology

Journal Article

Iranian Journal of Science and Technology, Transactions A: Science, ISSN 1028-6276, 8/2019, Volume 43, Issue 4, pp. 1689 - 1703

In this article, a generalized version of the univariate Birnbaum–Saunders distribution based on the skew-t-normal distribution is introduced and its characterizations, properties are studied...

Engineering | Life Sciences, general | Birnbaum–Saunders distribution | Chemistry/Food Science, general | Materials Science, general | Skew- t -normal distribution | ECM algorithm | Earth Sciences, general | Engineering, general | Physics, general | Information matrix | Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology

Engineering | Life Sciences, general | Birnbaum–Saunders distribution | Chemistry/Food Science, general | Materials Science, general | Skew- t -normal distribution | ECM algorithm | Earth Sciences, general | Engineering, general | Physics, general | Information matrix | Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology

Journal Article

Statistics & probability letters, ISSN 0167-7152, 10/2016, Volume 117, pp. 80 - 88

We study some of the main probabilistic properties of the so called multivariate skew-normal-Cauchy distribution...

Linear transformations | Multivariate skewness and kurtosis coefficients | Skew-normal-Cauchy distribution | Shape mixture | Fisher information matrix | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology

Linear transformations | Multivariate skewness and kurtosis coefficients | Skew-normal-Cauchy distribution | Shape mixture | Fisher information matrix | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology

Journal Article

Proyecciones (Antofagasta, Chile), ISSN 0716-0917, 12/2010, Volume 29, Issue 3, pp. 224 - 240

Journal Article

Biometrika, ISSN 0006-3444, 12/2019, Volume 106, Issue 4, pp. 765 - 779

Summary
Regression models for dichotomous data are ubiquitous in statistics. Besides being useful for inference on binary responses, these methods serve as...

Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Biology | Life Sciences & Biomedicine - Other Topics | Mathematics | Science & Technology | Mathematical & Computational Biology | Formulations | Routines | Monte Carlo method | Conjugates | Statistical analysis | Computer simulation | Skewed distributions | Markov chains | Statistical methods | Regression analysis | Markov analysis | Regression models | Algorithms | Computer applications | Mathematical models | Statistical inference | Bayesian analysis

Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Biology | Life Sciences & Biomedicine - Other Topics | Mathematics | Science & Technology | Mathematical & Computational Biology | Formulations | Routines | Monte Carlo method | Conjugates | Statistical analysis | Computer simulation | Skewed distributions | Markov chains | Statistical methods | Regression analysis | Markov analysis | Regression models | Algorithms | Computer applications | Mathematical models | Statistical inference | Bayesian analysis

Journal Article

Statistics (Berlin, DDR), ISSN 1029-4910, 02/2013, Volume 47, Issue 1, pp. 110 - 125

Recently, Gupta and Gupta [Analyzing skewed data by power-normal model, Test 17 (2008), pp. 197-210] proposed the power-normal distribution for which normal distribution is a special case...

maximum likelihood estimator | failure rate | clayton copula | approximate maximum likelihood estimator | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Skewed distributions | Data analysis | Bivariate analysis | Model testing | Normal distribution | Electric power distribution

maximum likelihood estimator | failure rate | clayton copula | approximate maximum likelihood estimator | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Skewed distributions | Data analysis | Bivariate analysis | Model testing | Normal distribution | Electric power distribution

Journal Article

Statistical methods & applications, ISSN 1618-2510, 8/2016, Volume 25, Issue 3, pp. 375 - 394

The skew normal distribution of Azzalini (Scand J Stat 12:171–178, 1985) has been found suitable for unimodal density but with some skewness present...

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Statistics for Life Sciences, Medicine, Health Sciences | Statistical Theory and Methods | 62E | Moments | Kurtosis | Statistics, general | 60E | Statistics | Skew normal distribution | Statistics for Business/Economics/Mathematical Finance/Insurance | Skewness | Stochastic representation | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Probability distribution | Stochastic models | Normal distribution | Fittings | Computer simulation | Representations | Criteria | Density

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Statistics for Life Sciences, Medicine, Health Sciences | Statistical Theory and Methods | 62E | Moments | Kurtosis | Statistics, general | 60E | Statistics | Skew normal distribution | Statistics for Business/Economics/Mathematical Finance/Insurance | Skewness | Stochastic representation | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Probability distribution | Stochastic models | Normal distribution | Fittings | Computer simulation | Representations | Criteria | Density

Journal Article

Scandinavian journal of statistics, ISSN 0303-6898, 03/2017, Volume 44, Issue 1, pp. 21 - 45

Skew‐symmetric families of distributions such as the skew‐normal and skew‐t represent supersets of the normal and t distributions, and they exhibit richer classes of extremal behaviour. By defining a non‐stationary skew...

angular density, asymptotic independence, extremal coefficient, extreme values, max‐stable distribution, non‐central extended skew‐t distribution, non‐stationarity, skew‐normal distribution, skew‐normal process, skew‐t distribution | angular density, asymptotic independence, extremal coefficient, extreme values, max-stable distribution, non-central extended skew-t distribution, non-stationarity, skew-normal distribution, skew-normal process, skew-t distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Normal distribution | Statistical analysis | Covariance | Mathematical models | Spectra | Behavior | Representations | Statistics | Density | Handling

angular density, asymptotic independence, extremal coefficient, extreme values, max‐stable distribution, non‐central extended skew‐t distribution, non‐stationarity, skew‐normal distribution, skew‐normal process, skew‐t distribution | angular density, asymptotic independence, extremal coefficient, extreme values, max-stable distribution, non-central extended skew-t distribution, non-stationarity, skew-normal distribution, skew-normal process, skew-t distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Normal distribution | Statistical analysis | Covariance | Mathematical models | Spectra | Behavior | Representations | Statistics | Density | Handling

Journal Article

Statistics and computing, ISSN 1573-1375, 05/2018, Volume 29, Issue 3, pp. 415 - 428

In this paper, we introduce an unrestricted skew-normal generalized hyperbolic (SUNGH) distribution for use in finite mixture modeling or clustering problems...

Statistics and Computing/Statistics Programs | Unrestricted skew-normal generalized hyperbolic family | Finite mixtures | Generalized hyperbolic distribution | Artificial Intelligence | MCMC | Statistical Theory and Methods | Skew-normal | Statistics | Bayesian analysis | Probability and Statistics in Computer Science | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Economic models | Parameter estimation | Mathematical models | Computer simulation | Clustering

Statistics and Computing/Statistics Programs | Unrestricted skew-normal generalized hyperbolic family | Finite mixtures | Generalized hyperbolic distribution | Artificial Intelligence | MCMC | Statistical Theory and Methods | Skew-normal | Statistics | Bayesian analysis | Probability and Statistics in Computer Science | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Economic models | Parameter estimation | Mathematical models | Computer simulation | Clustering

Journal Article

Journal of multivariate analysis, ISSN 0047-259X, 08/2008, Volume 99, Issue 7, pp. 1362 - 1382

For statistical inference connected to the scalar skew-normal distribution, it is known that the so-called centred parametrization provides a more convenient parametrization than the one commonly...

Parametrization | Singular information matrix | Index of skewness | 62E20 | Skew-normal distribution | 62F12 | 62H12 | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | 62F12 62H12 62E20 Index of skewness Skew-normal distribution Parametrization Singular information matrix | Studies | Statistical inference | Multivariate analysis | Parameter identification | Normal distribution

Parametrization | Singular information matrix | Index of skewness | 62E20 | Skew-normal distribution | 62F12 | 62H12 | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | 62F12 62H12 62E20 Index of skewness Skew-normal distribution Parametrization Singular information matrix | Studies | Statistical inference | Multivariate analysis | Parameter identification | Normal distribution

Journal Article

Journal of applied statistics, ISSN 0266-4763, 01/2012, Volume 39, Issue 1, pp. 3 - 20

A parametric modelling for interval data is proposed, assuming a multivariate Normal or Skew-Normal distribution for the midpoints and log-ranges of the interval variables...

parametric modelling of interval data | statistical tests for interval data | symbolic data | ANOVA | MANOVA | Skew-Normal distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Mathematical models | Statistical analysis | Simulation | Maximum likelihood method | Normal distribution | Intervals | Samples | Modelling | Models | Statistical methods | Cards

parametric modelling of interval data | statistical tests for interval data | symbolic data | ANOVA | MANOVA | Skew-Normal distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Mathematical models | Statistical analysis | Simulation | Maximum likelihood method | Normal distribution | Intervals | Samples | Modelling | Models | Statistical methods | Cards

Journal Article

Journal of multivariate analysis, ISSN 0047-259X, 2011, Volume 102, Issue 5, pp. 977 - 991

We derive for the first time the limiting distribution of maxima of skew-
t
random vectors and we show that its limiting case, as the degree of freedom goes to infinity, is the skewed version of the well-known Hüsler–Reiss model...

Extreme copulas | Skew- [formula omitted] distribution | Spatial extremes | Skew-normal distribution | Pickands dependence function | Tail dependence function | Extreme values | Max-stable distribution | Skew-t distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Extreme values Extreme copulas Max-stable distribution Pickands dependence function Skew-normal distribution Skew-t distribution Spatial extremes Tail dependence function | Studies | Mathematical models | Random variables | Multivariate analysis | Normal distribution

Extreme copulas | Skew- [formula omitted] distribution | Spatial extremes | Skew-normal distribution | Pickands dependence function | Tail dependence function | Extreme values | Max-stable distribution | Skew-t distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Extreme values Extreme copulas Max-stable distribution Pickands dependence function Skew-normal distribution Skew-t distribution Spatial extremes Tail dependence function | Studies | Mathematical models | Random variables | Multivariate analysis | Normal distribution

Journal Article