Agroforestry is recognized as a sustainable land use practice. However, the uptake of such a
promising land use practice is slow. Through this research, carried out in a Terai district of …

In chemical and manufacturing processes, unit failures due to equipment degradation can
lead to process downtime and significant costs. In this context, finding an optimal …

We developed the frost prediction models in spring in Korea using logistic regression and
decision tree techniques. Hit Rate (HR), Probability of Detection (POD), and False Alarm …

Typical statistical methods of data analysis only handle determinate uncertainty, the type of
uncertainty that can be modeled under the Bayesian or confidence theories of inference. An …

Agricultural production mainly depends on weather conditions. Both aspects are interiorly
connected with each other in several aspects, as climate change is the key factor of plant …

This paper proposes a method for fitting a two-state imprecise Markov chain to time series
data from a two-state non-Markovian process. Such non-Markovian processes are common …

Objectives Physician encounters with patients with type 2 diabetes act as motivation for self-
management and lifestyle adjustments that are indispensable for diabetes treatment. We …

This paper proposes a novel application of the multinomial logit (MNL) model using
Cropland Data Layer and field-level boundaries to estimate crop transition probabilities …

We analyse the impact of a policy decision on crop rotations, using the imprecise land use
model that was developed by the authors in earlier work. A specific challenge in crop …

Binary classification is a well known problem in statistics. Besides classical methods, several
techniques such as the naive credal classifier (for categorical data) and imprecise logistic …