Add to ORKGThe likelihood function represents the basic ingredient of many commonly used statistical methods for estimation, testing and the calculation of con-fidence intervals. In practice, much application of likelihood inference relies on first order asymptotic results such as the central limit theorem. Th
Large sample methods of likelihood inference are examined for a simple growth model. Attention focus...
The stress-strength reliability , where and are independent continuous random variables, has obtaine...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
The likelihood function represents the basic ingredient of many commonly used statistical methods fo...
A library of S-PLUS functions (and data) for higher-order asymptotic inference written by Alessandra...
HolaFor inferences from random-effect models Lee and Nelder (1996) proposed to use hierarchical like...
HolaFor inferences from random-effect models Lee and Nelder (1996) proposed to use hierarchical lik...
Abstract. We present a (selective) review of recent frequentist high-dimensional inference methods f...
This book provides a groundbreaking introduction to the likelihood inference for correlated survival...
Meta-analysis is a statistical method for combining information from different studies about the sam...
This paper deals with the application of higher order asymptotics for likelihood-based inference to ...
In fields such as biology, medical sciences, sociology, and economics researchers often face the sit...
<h2>File List</h2><div> <p><a href="bbest.R">bbest.R</a> (MD5: f0c7cb285f2d376d1fc17e1ae...
This paper deals with the application of higher order asymptotics for likelihood-based inference to ...
This paper investigates the use of likelihood methods for meta-analysis, within the random-effects m...
Large sample methods of likelihood inference are examined for a simple growth model. Attention focus...
The stress-strength reliability , where and are independent continuous random variables, has obtaine...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
The likelihood function represents the basic ingredient of many commonly used statistical methods fo...
A library of S-PLUS functions (and data) for higher-order asymptotic inference written by Alessandra...
HolaFor inferences from random-effect models Lee and Nelder (1996) proposed to use hierarchical like...
HolaFor inferences from random-effect models Lee and Nelder (1996) proposed to use hierarchical lik...
Abstract. We present a (selective) review of recent frequentist high-dimensional inference methods f...
This book provides a groundbreaking introduction to the likelihood inference for correlated survival...
Meta-analysis is a statistical method for combining information from different studies about the sam...
This paper deals with the application of higher order asymptotics for likelihood-based inference to ...
In fields such as biology, medical sciences, sociology, and economics researchers often face the sit...
<h2>File List</h2><div> <p><a href="bbest.R">bbest.R</a> (MD5: f0c7cb285f2d376d1fc17e1ae...
This paper deals with the application of higher order asymptotics for likelihood-based inference to ...
This paper investigates the use of likelihood methods for meta-analysis, within the random-effects m...
Large sample methods of likelihood inference are examined for a simple growth model. Attention focus...
The stress-strength reliability , where and are independent continuous random variables, has obtaine...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...