A Cobb–Douglas stochastic production frontier was used to analyze the technical efficiency of wheat producers under row planting and broadcasting methods in Hadiya zone, southern Ethiopia. The estimated results model show that mean 83.4% 57.8% broadcasting, respectively. Approximately 646.882 kg/ha 1393.038 output were lost due inefficiency. This reveals existing practices there is a room incre...

in order to study effective factors in sugar beet production using two stage cluster sampling, totally one hundred producers were selected from kermanshah and islamabad cities in kermanshah province. data were collected through interviews and  filling out questionnairs for crop season 1999-2000. evaluation of technical efficiency of sugar beet producers and  its  effective factors was carried o...

In this paper we develop proximal methods for statistical learning. Proximal point algorithms are useful in statistics and machine learning for obtaining optimization solutions for composite functions. Our approach exploits closedform solutions of proximal operators and envelope representations based on the Moreau, Forward-Backward, Douglas-Rachford and Half-Quadratic envelopes. Envelope repres...

known as the inverse problem of the calculus of variations for the system (2.1). For historical reasons, we also refer to this problem as the Sonin–Douglas problem; Eq. (2.2) are called theSonin–Douglas equations. Having inmind the correspondence with classicalmechanics,we sometimes call the system F = (F1, . . . , Fm) the force. The functions g jk are called variational multipliers. If the fun...

This research study is carried out to examine Technical and allocative efficiency among Maize growers in Aesi Negele Woreda, West Arsi Zone of Oromia, Ethiopia. The based on primary secondary data, collected through a well designed questionnaire from sample 98 small holder producers. data were analyzed with the use stochastic frontier Cobb. Douglas production function estimate level identify im...

A Bayesian alternative to Zhuo (2018) is presented. The method is of general interest as it presents an explicit formula for the local sensitivity of log marginal likelihood when observations vary by a small amount. The remarkable feature is that the formula is very easy to compute and does not require knowledge of the marginal likelihood which is, invariably, extremely difficult to compute. Si...