Small sample asymptotic inference for the coefficient of variation: Normal and nonnormal models

Journal of Statistical Planning and Inference

Volumn 104, Issue 1, 2002, Pages 73-82

  Wong, A C M ^a   Wu, J ^b  

^a YORK UNIVERSITY   (Canada)

^b MARQUETTE UNIVERSITY   (United States)

Author keywords

Ancillary statistic; Coefficient of variation; Likelihood ratio statistic

Indexed keywords

EID: 0036568495     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(01)00241-5     Document Type: Article

References (11)

1. Inference on full or partial parameters based on the standardized signed log likelihood ratio
2. Modified signed log likelihood ratio
3. Note on the application of Fisher's κ-statistics
4. Inference and Linear Models
5. Testing hypothesis about the shape parameter of a gamma distribution
6. Statistical investigation of the fatigue life of deep groove ball bearings
7. Distribution of the coefficient of variation and the extended 't' distribution
8. Practical use of higher order asymptotics for multiparameter exponential families
9. The roles of conditioning in inference
10. Confidence intervals for a normal coefficient of variation