TY - JOUR
T1 - On testing the log-gamma distribution hypothesis by bootstrap
AU - Gutiérrez González, Eduardo
AU - Villaseñor Alva, José A.
AU - Panteleeva, Olga Vladimirovna
AU - Vaquera Huerta, Humberto
PY - 2013/12
Y1 - 2013/12
N2 - In this paper we propose two bootstrap goodness of fit tests for the log-gamma distribution with three parameters, location, scale and shape. These tests are built using the properties of this distribution family and are based on the sample correlation coefficient which has the property of invariance with respect to location and scale transformations. Two estimators are proposed for the shape parameter and show that both are asymptotically unbiased and consistent in mean-squared error. The test size and power is estimated by simulation. The power of the two proposed tests against several alternative distributions is compared to that of the Kolmogorov-Smirnov, Anderson-Darling, and chi-square tests. Finally, an application to data from a production process of carbon fibers is presented.
AB - In this paper we propose two bootstrap goodness of fit tests for the log-gamma distribution with three parameters, location, scale and shape. These tests are built using the properties of this distribution family and are based on the sample correlation coefficient which has the property of invariance with respect to location and scale transformations. Two estimators are proposed for the shape parameter and show that both are asymptotically unbiased and consistent in mean-squared error. The test size and power is estimated by simulation. The power of the two proposed tests against several alternative distributions is compared to that of the Kolmogorov-Smirnov, Anderson-Darling, and chi-square tests. Finally, an application to data from a production process of carbon fibers is presented.
KW - Goodness of fit test
KW - Location-scale invariant statistic
KW - Parametric bootstrap
KW - Sample correlation coefficient
KW - Shape parameter
UR - http://www.scopus.com/inward/record.url?scp=84888301130&partnerID=8YFLogxK
U2 - 10.1007/s00180-013-0427-4
DO - 10.1007/s00180-013-0427-4
M3 - Artículo
SN - 0943-4062
VL - 28
SP - 2761
EP - 2776
JO - Computational Statistics
JF - Computational Statistics
IS - 6
ER -