This thesis is mainly concerned with the estimation of parameters in autoregressive models with censored data. For convenience, attention is restricted to the first-order stationary autoregressive (AR(1)) model in which the response random variables are subject to right-censoring. In their...

The purpose of this study is to analyze innovation activities in the agricultural sector using an association rule mining algorithm to understand the different types of innovation activities and their combinations that ultimately result in product, process, organizational, and marketing...