empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. this study was conducted in a semi-arid rangeland ecosystem of qazvin province, iran. this paper presents t...

the climate and weather patterns of buffalo (new york, u.s.a.) are strongly influenced by thecity’s proximity to lake erie. total monthly snowfall in buffalo is forecasted using neural network techniques(multi-layer perceptron = mlp) and a multiple linear regression (lr) model. the period of analysis comprises 28 years from january 1982 to december 2009. input data include: zonal wind speed (u-...

many health studies were interested to find the association between multiple predictors with a dependent variable. the popular method to analyze these studies was multiple regressions that assumed the predictors were independent. while in practice some predictors may depend on each other and they could not be presented in a regression model simultaneously, as a result the appropriate models suc...

While there is substantial need for dependence models in higher dimensions, most existing models quickly become rather restrictive and barely balance parsimony and flexibility. Hierarchical constructions may improve on that by grouping variables in different levels. In this paper, the new class of hierarchical Kendall copulas is proposed and discussed. Hierarchical Kendall copulas are built up ...

[Purpose] The aim of this study was to examine the effects of horse-riding simulator exercise and Kendall exercise on forward head posture. [Subjects and Methods] Thirty elderly college students with a forward head posture were randomly divided into two groups for 15 persons each, a horse-riding simulator group and Kendall exercise group, and performed exercise for eight weeks. [Results] The ho...

this study examined the relationship of the personality factors (openness, conscientiousness, extraversion, agreeableness, and neuroticism) with each of the three workaholism components i.e. working compulsively, working excessively and combined workaholics. as the study is of exploratory in nature, a sample of 145 academicians was drawn from the two universities of jammu region (india), namely...

abstract reference evapotranspiration (eto) is an essential parameter required for proper management of agricultural crop irrigation. eto is influenced by many different hydrological variables and as a result is a very complex procces. eto is usually estimated by empirical or process-orinented models (mathematical relationships) from historical weather data. the need for accurate estimates of e...

Increases in computing power have enabled Monte Carlo simulations to become increasingly common in contemporary statistical practice. Some applications require specialized statistical software while others can be implemented with general multipurpose statistical programs. Simulations of the power of statistical tests—the probability of rejecting the null hypothesis when it is false—are among th...