Testing the equality of quantiles for several normal populations

ABSTRACT Many procedures exist for testing equality of means or medians to compare several independent distributions. However, the mean or median do not determine the entire distribution. In this article, we propose a new small-sample modification of the likelihood ratio test for testing the equality of the quantiles of several normal distributions. The merits of the proposed test are numerically compared with the existing tests—a generalized p-value method and likelihood ratio test—with respect to their sizes and powers. The simulation results demonstrate that proposed method is satisfactory; its actual size is very close to the nominal level. We illustrate these approaches using two real examples.

[1]  Juan Wang,et al.  Comparison of quantiles for several normal populations , 2012, Comput. Stat. Data Anal..

[2]  A. W. Marshall,et al.  SOME TEST FOR COMPARING PERCENTAGE POINTS OF TWO ARBITRARY CONTINUOUS POPULATIONS , 1950 .

[3]  T. Cox,et al.  Testing the equality of two normal percentiles , 1985 .

[4]  J. Walsh Bounded significance level tests for comparing quantiles of two possibly different continuous populations , 1954 .

[5]  J. Ledolter,et al.  Analysis of variance of communication latencies in anesthesia: comparing means of multiple log-normal distributions. , 2011, Anesthesia and analgesia.

[6]  I. Skovgaard Likelihood Asymptotics , 2001 .

[7]  Richard A. Johnson,et al.  Confidence regions for the ratio of percentiles , 2006 .

[8]  A. Jafari,et al.  Modified Signed Log-Likelihood Ratio Test for Comparing the Correlation Coefficients of Two Independent Bivariate Normal Distributions , 2016, 1605.09700.

[9]  Guoyong Jiang,et al.  Likelihood Analysis for the Ratio of Means of Two Independent Log‐Normal Distributions , 2002, Biometrics.

[10]  Paramjit S Gill Small-sample inference for the comparison of means of log-normal distributions. , 2004, Biometrics.

[11]  Distribution–free confidence intervals for the difference between quantiles , 1990 .

[12]  K. Krishnamoorthy,et al.  Comparison Between Two Quantiles: The Normal and Exponential Cases , 2005 .

[13]  Rand R. Wilcox,et al.  Comparing Two Independent Groups Via Multiple Quantiles , 1995 .

[14]  S. Rudolfer,et al.  Large sample inference for diagnostic normal limits in gaussian populations , 1985 .