Literature DB >> 16189811

Inferences on the mean of zero-inflated lognormal data: the generalized variable approach.

Lili Tian1.   

Abstract

This paper considers the problems of confidence interval estimation and hypothesis testing for the mean of zero-inflated lognormal data. We present an unified novel approach based on the concepts of generalized test variables and generalized pivotal quantities. Simulation results demonstrate that the coverage accuracy of proposed confidence intervals and the type I error control of the proposed exact tests are satisfactory. 2005 John Wiley & Sons, Ltd.

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Year:  2005        PMID: 16189811     DOI: 10.1002/sim.2169

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  7 in total

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2.  Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error.

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3.  Estimating the average daily rainfall in Thailand using confidence intervals for the common mean of several delta-lognormal distributions.

Authors:  Patcharee Maneerat; Sa-Aat Niwitpong
Journal:  PeerJ       Date:  2021-01-22       Impact factor: 2.984

4.  Multiple comparisons of precipitation variations in different areas using simultaneous confidence intervals for all possible ratios of variances of several zero-inflated lognormal models.

Authors:  Patcharee Maneerat; Sa-Aat Niwitpong
Journal:  PeerJ       Date:  2021-12-20       Impact factor: 2.984

5.  Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand.

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Journal:  PeerJ       Date:  2022-02-04       Impact factor: 2.984

6.  Simultaneous confidence intervals for all pairwise differences between the coefficients of variation of rainfall series in Thailand.

Authors:  Noppadon Yosboonruang; Sa-Aat Niwitpong; Suparat Niwitpong
Journal:  PeerJ       Date:  2021-06-23       Impact factor: 2.984

Review 7.  Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication.

Authors:  Nuno Sepúlveda; Gillian Stresman; Michael T White; Chris J Drakeley
Journal:  J Immunol Res       Date:  2015-12-06       Impact factor: 4.818

  7 in total

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