Literature DB >> 24465079

Properties of Doubly-Truncated Gamma Variables.

Christopher S Coffey1, Keith E Muller2.   

Abstract

The truncated gamma distribution has been widely studied, primarily in life-testing and reliability settings. Most work has assumed an upper bound on the support of the random variable, i.e. the space of the distribution is (0, u). We consider a doubly-truncated gamma random variable restricted by both a lower (l) and upper (u) truncation point, both of which are considered known. We provide simple forms for the density, cumulative distribution function (CDF), moment generating function, cumulant generating function, characteristic function, and moments. We extend the results to describe the density, CDF, and moments of a doubly-truncated noncentral chi-square variable.

Entities:  

Keywords:  censoring; characteristic function; internal pilot study; moments; noncentral chi-square

Year:  2000        PMID: 24465079      PMCID: PMC3898536          DOI: 10.1080/03610920008832519

Source DB:  PubMed          Journal:  Commun Stat Theory Methods        ISSN: 0361-0926            Impact factor:   0.893


  3 in total

1.  Exact test size and power of a Gaussian error linear model for an internal pilot study.

Authors:  C S Coffey; K E Muller
Journal:  Stat Med       Date:  1999-05-30       Impact factor: 2.373

2.  BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY.

Authors:  Douglas J Taylor; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  1996       Impact factor: 0.893

3.  The role of internal pilot studies in increasing the efficiency of clinical trials.

Authors:  J Wittes; E Brittain
Journal:  Stat Med       Date:  1990 Jan-Feb       Impact factor: 2.373

  3 in total
  3 in total

1.  Practical Methods for Bounding Type I Error Rate with an Internal Pilot Design.

Authors:  Christopher S Coffey; John A Kairalla; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2007       Impact factor: 0.893

2.  Some Distributions and Their Implications for an Internal Pilot Study With a Univariate Linear Model.

Authors:  Christopher S Coffey; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2000-01       Impact factor: 0.893

3.  GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots.

Authors:  John A Kairalla; Christopher S Coffey; Keith E Muller
Journal:  J Stat Softw       Date:  2008-11-13       Impact factor: 6.440

  3 in total

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