We construct a new partially linear regression based on a reparametrized generalized gamma distribution with two systematic components that can be easily interpreted. Its parameters are estimated by penalized maximum likelihood. For different parameter settings, sample sizes, and censoring percentages, some simulations are performed to examine the accuracy of the maximum likelihood estimators, and the empirical distribution of the residuals compared with the standard normal distribution.
View Article and Find Full Text PDFAnthracnose has become one of the main threats to soybean production and is considered the most important disease in some soybean-producing areas. is the species most commonly associated with anthracnose and produces microsclerotia. However, the role of microsclerotia in the epidemiology of soybean anthracnose disease has not yet been described.
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