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Plant physical defenses contribute to a latitudinal gradient in resistance to insect herbivory within a widespread perennial grass

American journal of botany, 2024-01, Vol.111 (1), p.e16260-n/a

2024

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Fast fifth-order polynomial transforms for generating univariate and multivariate nonnormal distributions

Computational statistics & data analysis, 2002-10, Vol.40 (4), p.685-711

Headrick, Todd C.

2002

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A Characterization of Power Method Transformations through L-Moments

Journal of Probability and Statistics, 2011-01, Vol.2011 (2011), p.223-244

2011

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A characterization of power method transformations through the method of percentiles

Communications in statistics. Simulation and computation, 2018-09, Vol.47 (8), p.2197-2215

2018

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A Method for Simulating Burr Type III and Type XII Distributions through L-Moments and L-Correlations

ISRN applied mathematics, 2013-12, Vol.2013

2013

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A characterization of the Burr Type III and Type XII distributions through the method of percentiles and the Spearman correlation

Communications in statistics. Simulation and computation, 2017-02, Vol.46 (2), p.1611-1627

2017

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Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles

Multivariate behavioral research, 2015-03, Vol.50 (2), p.216-232

2015

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Simulating Correlated Multivariate Nonnormal Distributions: Extending the Fleishman Power Method

Psychometrika, 1999-03, Vol.64 (1), p.25-35

1999

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A PROPOSED MEASURE OF INTERNAL CONSISTENCY RELIABILITY: COEFFICIENT L-alpha

Behaviormetrika, 2012, Vol.40(1), pp.57-68

2012

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A Method for Simulating Nonnormal Distributions with Specified L-Skew, L-Kurtosis, and L-Correlation

ISRN applied mathematics, 2012-01, Vol.2012 (2012), p.1-23

2012

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A Gibbs Sampler for the Multidimensional Item Response Model

ISRN applied mathematics, 2012-12, Vol.2012 (2012), p.1-14

2012

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Plant physical defenses contribute to a latitudinal gradient in resistance to insect herbivory within a widespread perennial grass

American journal of botany, 2023-11, Vol.111 (1)

2023

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Simulating non-normal distributions with specified L-moments and L-correlations

Statistica Neerlandica, 2012-11, Vol.66 (4), p.422-441

2012

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On simulating multivariate non-normal distributions from the generalized lambda distribution

Computational statistics & data analysis, 2006-07, Vol.50 (11), p.3343-3353

2006

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Simulating multivariate g-and-h distributions

British journal of mathematical & statistical psychology, 2010-02, Vol.63 (1), p.63-74

2010

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Intravenous ribavirin therapy in a neonate with disseminated adenovirus infection undergoing extracorporeal membrane oxygenation: Pharmacokinetics and clearance by hemofiltration

The Journal of pediatrics, 1997-04, Vol.130 (4), p.612-615

1997

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A Doubling Method for the Generalized Lambda Distribution

ISRN applied mathematics, 2012-12, Vol.2012 (2012), p.1-19

2012

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An L-Moment-Based Analog for the Schmeiser-Deutsch Class of Distributions

ISRN applied mathematics, 2012-12, Vol.2012 (2012), p.1-16

2012

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On the Order Statistics of Standard Normal-Based Power Method Distributions

ISRN applied mathematics, 2012-12, Vol.2012 (2012), p.1-13

2012

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Characterizing Tukey h and hh-Distributions through L-Moments and the L-Correlation

ISRN applied mathematics, 2012-12, Vol.2012 (2012), p.1-20

2012

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Numerical Computing and Graphics for the Power Method Transformation Using Mathematica

Journal of statistical software, 2007-04, Vol.19 (3)

2007

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A Logistic -Moment-Based Analog for the Tukey -, , , and - System of Distributions

ISRN probability and statistics, 2012-10, Vol.2012, p.1-23

2012

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An investigation of the rank transformation in multiple regression

Computational statistics & data analysis, 2001-12, Vol.38 (2), p.203-215

2001

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Characterizing Tukey and -Distributions through -Moments and the -Correlation

ISRN applied mathematics, 2012-02, Vol.2012, p.1-20

2012

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The power method transformation: its probability density function, distribution function, and its further use for fitting data

Journal of statistical computation and simulation, 2007-01, Vol.77 (3), p.229-249

2007

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Plant physical defenses contribute to a latitudinal gradient in resistance to insect herbivory within a widespread perennial grass

Fast fifth-order polynomial transforms for generating univariate and multivariate nonnormal distributions

A Characterization of Power Method Transformations through L-Moments

A characterization of power method transformations through the method of percentiles

A Method for Simulating Burr Type III and Type XII Distributions through L-Moments and L-Correlations

A characterization of the Burr Type III and Type XII distributions through the method of percentiles and the Spearman correlation

Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles

Simulating Correlated Multivariate Nonnormal Distributions: Extending the Fleishman Power Method

A PROPOSED MEASURE OF INTERNAL CONSISTENCY RELIABILITY: COEFFICIENT L-alpha

A Method for Simulating Nonnormal Distributions with Specified L-Skew, L-Kurtosis, and L-Correlation

A Gibbs Sampler for the Multidimensional Item Response Model

Plant physical defenses contribute to a latitudinal gradient in resistance to insect herbivory within a widespread perennial grass

Simulating non-normal distributions with specified L-moments and L-correlations

On simulating multivariate non-normal distributions from the generalized lambda distribution

Simulating multivariate g-and-h distributions

Intravenous ribavirin therapy in a neonate with disseminated adenovirus infection undergoing extracorporeal membrane oxygenation: Pharmacokinetics and clearance by hemofiltration

A Doubling Method for the Generalized Lambda Distribution

An L-Moment-Based Analog for the Schmeiser-Deutsch Class of Distributions

On the Order Statistics of Standard Normal-Based Power Method Distributions

Characterizing Tukey h and hh-Distributions through L-Moments and the L-Correlation

Numerical Computing and Graphics for the Power Method Transformation Using Mathematica

A Logistic -Moment-Based Analog for the Tukey -, , , and - System of Distributions

An investigation of the rank transformation in multiple regression

Characterizing Tukey and -Distributions through -Moments and the -Correlation

The power method transformation: its probability density function, distribution function, and its further use for fitting data

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