in recent decades, large investments have been made to introduce soil conservation methods, but most of these efforts have had limited success in achieving the goals. as a result, attempt to identify the factors deterring or promoting adoption of soil conservation practices is important. therefore, this study aimed to investigate factors affecting adoption of soil conservation practices by rain...

one of the really important challenges facing agricultural producers is the choice of their product distribution channels. the present study is aimed at investigating the citrus marketing channel strategy and its determinants among citrus orchardists of mazandaran using a nested logit model. some two hundred and fifty two orchardists from 15 cities of mazandaran were taken as the study samples....

capacity of garden productions in iran is such that is accounted as a country that produces thirteen garden products in the world but despite excellent condition in iran for producing garden products, natural disasters damage production of fruits in the country therefore farmers incur a loss. pistachio tree has been in danger of destruction and dryness. thus, in order to reduce loss incurred on...

The presence of bubbles in the markets and its formation has been regarded by economists and they have been looking to develop methods that can be recognized by using appropriate method for the formation of bubbles. In this paper, first, the formation of bubbles is tested using the new unit root test known as Phillips test (Generalized Sup ADF test) for 50 companies in the Tehran Stock Exchange...

This paper reports on the development of a learning system for the prediction of dichotomous response variables by combining fuzzy concept with classical regression technique. The algorithm involves linear transformation followed by linear programming. In the algorithm presented it was assumed that the logarithm of the odds (logit) is linearly related to X’s, the independent variables after und...

Developing a stable early warning system (EWS) model that is capable to give an accurate prediction is a challenging task. This paper introduces k-nearest neighbour (k-NN) method which never been applied in predicting currency crisis before with the aim of increasing the prediction accuracy. The proposed k-NN performance depends on the choice of a distance that is used where in our analysis; we...

Structure, Conduct and Performance (SCP) is used as an analytical framework, to make relations amongst market structure, market conduct and market performance. The objective of this study was to analyze the factors, which affect SCP of livestock markets in the Butana area, Sudan in 2011. A total sample of 222 livestock traders were surveyed using structured questionnaire in seven primary and se...

OBJECTIVES The objectives were to evaluate three models that use information gathered during triage to predict, in real time, the number of emergency department (ED) patients who subsequently will be admitted to a hospital inpatient unit (IU) and to introduce a new methodology for implementing these predictions in the hospital setting. METHODS Three simple methods were compared for predicting...

In clinical research, suitable visualization techniques of data after statistical analysis are crucial for the researches' and physicians' understanding. Common statistical techniques to analyze data in clinical research are logistic regression models. Among these, the application of binary logistic regression analysis (LRA) has greatly increased during past years, due to its diagnostic accurac...