growth analysis is a valuable method in the study of quantitative of growth, development and crop production. in order to study the physiological growth indices of lentil plant under dry- farming conditions, an experiment was carried out as a randomized complete block design with three replications at the agricultural research station of lorestan university during 2010. in this experiment two c...

The accuracy of regression model may have some warp when the observation data set exists outlier. We study to lessen the outlier effect in predicting GDP growth on the basis of fuzzy linear regression model in this paper. The result is eff ectively verified the performance of the model.

Hidden Markov Model Regression (HMMR) is an extension of the Hidden Markov Model (HMM) to regression analysis. We assume that the parameters of the regression model are determined by the outcome of a nite-state Markov chain and that the error terms are conditionally independent normally distributed with mean zero and state dependent variance. The theory of HMM regression is quite new, but some ...

Classical regression analysis relates the expectation of a response variable to a linear combination of explanatory variables. In this article, we propose a covariance regression model that parameterizes the covariance matrix of a multivariate response vector as a parsimonious quadratic function of explanatory variables. The approach can be seen as analogous to the mean regression model, and ha...

this paper investigates asset growth pricing in firm-level cross section stock return in tehran stock exchange for the period from 1379 to 1389. in order to test cross section stock return predictability by the firm's asset growth, the relation between asset growth rate and subsequent stock return is examined in a sample of 280 firms using portfolio analysis approach and fama-macbeth (1973...

1- introduction crop development is qualitative changes planned that led the plant to ripening. factors such as water available, nitrogen and photosynthetic materials are affected growth and development. under irrigated conditions expected that all of factors except climate elements be controlled. thus, only climate elements able to change of plant growth and development and under these conditi...

We developed a geographic cellular automata (CA) model based on partial least squares (PLS) regression (termed PLS-CA) to simulate dynamic urban growth in a geographical information systems (GIS) environment. The PLS method extends multiple linear regression models that are used to define the unique factors driving urban growth by eliminating multicollinearity among the candidate drivers. The k...

one of the major goals of antenatal care is estimation of gestational age.the most widely used parameters for evaluation of fetal growth are biparietal diameter (BPD),femoral length (FL) and adbominal circumference (AC).to determine the value of prenatal ultrasonographic scapula measurements for fetal growth and gesattional age a prospective ultrasonographic cross-sectional study was conducted ...

We compare the estimated effects of health in a macroeconomic production function model of economic growth with the effects that are found using calibration based on wage regressions. We allow for gradual adjustment in income level towards the steady state which means that both the level and growth of inputs can affect economic growth. We find that the estimated macroeconomic effects of health ...

Motivated by Feder’s two-sector model concerning exports and growth, this article intends to propose a dynamic framework, which bases on the production function theory and consists of two versions of the two-sector (the financial sector and the real sector) model, for analyzing the interrelation between financial development and economic growth in terms of intersectoral externalities. The appro...