a weighted linear regression model with impercise response and p-real explanatory variables is analyzed. the lr fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. a least square solution for estimating the parameters of the model is derived. the result are illustrated by the means of some case studies.

the main objective of this study was to understand of genetic association between quantitative and qualitative traits and also to quantify effects of selection for one trait on others in safflower. the study took place in the experimental field of the faculty of agriculture, isfahan university of technology, isfahan, iran, in the 2001 and 2002. to find the best variable for selection to improve...

When there is a high correlation between the study and the  auxiliary variables, the rank of the auxiliary variable also correlates with the study variable. Then, the use of the rank as an additional auxiliary variable may be helpful to increase the efficiency of the estimator of the mean or total of the population.   In the present study, we propose two  generalized familie...

this article focuses on the estimation of population proportion when the study variable is sensitive in nature. two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. in addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

the response of root to water stress is one of the most important parameters for researchers. study of growth and distribution of root under different irrigation managements helpsresearchersto a better understanding of soil water content, and the availability of water and nutrition in water stress condition. to investigate the effects of four levels of irrigation under two different deficit irr...

Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present i...

This study challenges the conventional wisdom that elderly, child, and overall poverty are divergent. Comparing the official U.S. measure with the Luxembourg Income Study’s (LIS) measure, the author shows that the official measure underestimates elderly poverty by a significant amount and child poverty by a lesser amount. Both the elders and children are much more likely to be poor than the ove...