Home

ISRT, University of Dhaka

Institute of Statistical Research and Training

Site Navigation

  • JSR
    • All Articles
    • Articles by Vol. No. Year
  • Training
  • Publications
    • MS Theses
  • Seminar
  • People
    • Alumni
    • All Faculty
    • Professor
    • Associate Professor
    • Assistant Professor
    • Lecturer
    • Supernumerary Professor
    • Former Faculty
    • Former Directors
Home
    • Home
    • News
    • Contact

Quick Links

Webmail Login
Students' Support Forum

Navigation

  • Create content
    • Alumni Profile

Estimation and statistical inference of univariate non-sequential signal-to-noise ratios

 

C.-L. Huynh (2002). Estimation and statistical inference of univariate non-sequential signal-to-noise ratios. Journal of Statistical Research, Vol. 36, No. 2, pp.  201-213.

 

Abstract

The exact and asymptotic distributions of the biased and unbiased estimators of the univariate mean-to-standard-deviation ratio are studied. Normalizing and variance stabilizing transformations of these estimators are derived. Monte Carlo studies show that the Rao transformation of the exact distribution performs better than other procedures for $\alpha=05, .01$ with samples as small as five. Statistical inferences on single ratios and ratio comparisons are discussed. Standard normal tests are recommended for $n>5$. Methods and tables for statistical tests using exact distributions for small samples are also provided.

 

Fulltext PDF not available for this article.

 

Information for

Prospective Students
Visitors
Parents or Guardians

Resources

List of Bangladeshi Universities
Statistics Departments (by country)
Statistical Journals

© 1999-2009, ISRT, University of Dhaka, Bangladesh
Site established: 22 June 1999