wheat (triticum aestivum) is one of the major crops in the world and iran. any plan for improvement of wheat yield requires sufficient information on different stages of crop life cycle and the effects of meteorological parameters. the purpose of this study was developing suitable regression models for prediction the length of pheonological stage of winter wheat in three different regions of ir...

fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. several methods for evaluating fuzzy coefficients in linear regression models have been proposed. the first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. in this the...

Modelling the appearance of 3D objects undergoing large pose variation relies on recovering correspondence of both shape and texture across views. The problem is hard because changes in pose not only introduce self-occlusions hence inconsistent 2D features between views, but also cause non-linear variations in both the shape and texture of object appearance. In this paper, we present an approac...

In this paper, we investigate how to manipulate the coefficients obtained via linear regression by adding carefully designed poisoning data points dataset or modify original points. Given energy budget, first provide closed-form solution of optimal point when our target is modifying one designated coefficient. We then extend analysis more challenging scenario where attacker aims change particul...

Hierarchical linear models (HLMs) are a standard approach for analyzing data where individuals are measured repeatedly over time. However, such models are only applicable to longitudinal studies of Euclidean data. In this paper, we propose a novel hierarchical geodesic model (HGM), which generalizes HLMs to the manifold setting. Our proposed model explains the longitudinal trends in shapes repr...

effects of temperature and percentage of organic modifier were studied on retention and selectivity in rp-hplc using solvation parameter model. the system constants were determined by multiple linear regression analysis from experimental values in the retention factor for a group of different solutes with known descriptors by computer using the program spss/pc. the experimental results showed t...

Understanding the biological variability of anatomical objects is essential for statistical shape analysis and to distinguish between healthy and pathological structures. Statistical Shape Modelling (SSM) can be used to analyse the shapes of sub-structures aiming to describe their variation across individual objects and between groups of them [1]. However, when the shapes exhibit self-similarit...

Vegetation models based on multiple logistic regression are of growing interest in environmental studies and decision making. The relatively simple sigmoid Gaussian optimum curves are most common in current vegetation models, although several different other response shapes are known. However, improvements in the technical means for handling statistical data now facilitate fast and interactive ...

quantitative structure-activity relationship (qsar) studies of a series of substituted 3-hydroxy-pyridine-4-ones and 3-hydroxy-pyran-4-ones as antibacterial and antifungal agents against a variety of microorganisms were performed. multiple linear regression approach was used as variable selection method. the antimicrobial activities of these compounds against staphylococcus aureus, aspergilus n...