Discriminant Function
Sex Estimation by Discriminant Function Analysis of Hand Dimensions of the Igbos in Nigeria
... Discriminant function analysis (DFA) as used evaluated the predictability of the model of which 70.5% of the measured parameters were correctly classified. This is relatively weak although can be used with ...
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Morphological characterization and discriminant function analysis in mungbean [Vigna radiata (L.) Wilczek] germplasm
... Grouping of genotypes based on discriminant function: With identification of agro- morphological traits, isolation of suitable genotype(s) is also important. Several researchers gave more emphasis on ...
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Discriminant function method of selection in groundnut (Arachis hypogaea L.)
... of discriminant function as a basis for making selection on several characters simultaneously is aimed at discriminating the desirable genotypes from undesirable ones on the basis of their phenotypic ...
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Estimation of a nonlinear discriminant function from a mixture of two exponentiated - Weibull distributions
... nonlinear discriminant function estimated from a mixture of two Weibull distribu- ...nonlinear discriminant function based on unclassified initial samples from a mixture of two Burr type-XII ...
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Discriminant function method of selection in vegetable cowpea [Vigna unguiculata (L.) Walp.]
... construct an index which combines information on all the characters associated with yield. This suggests the use of selection index, which gives proper weight to each of the two or more characters to be considered. ...
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Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach
... of discriminant function analyses were used to examine the classifying power of the five variables for discriminating between low and high ability L2 ...
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Support Vector Machine based Classification into Groups using Discriminant Function
... Abstract: Support Vector Machines(SVMs) support vector networks and also supervise learning models with associated learning algorithms that analyze data and recognize patterns used for classification and regression ...
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The Correlation Recognition of Distorted Images Based on Synthetic Discriminant Function
... images of the training set are operated to find out the suitable parameters and then compose the synthetic discriminant function. Based on SDF the space matched filters are made, when the correct target ...
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Predicting Financial Performance Of Selected Listed Companies Through Discriminant Function Analysis
... a function of key financial ratios and financial indicators which are significant in predicting the financial performance of the ...The Discriminant Function Analysis has been applied to derive the ...
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Role of socio economic variables in adoption of crop insurance: A Discriminant Function Approach
... of discriminant analysis with respect to the status of adoption of insurance scheme by the ...standardized discriminant function coefficients are used in expressing the relative importance of ...
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Dropout Classification through Discriminant Function Analysis: A Statistical Approach
... Educational Data Mining is a promising area in which many researchers are working on various issues like performance evaluation, enrollment management, placement, and dropout. Dropout of the students from their courses ...
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Determination of sex of adult human scapula by discriminant function analysis
... and discriminant function score formula for each variable appear in Tables 5, 6 and 7 as Function 1 to ...best discriminant variable among all variables with 89% for males and ...
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Role of Socio-economic Variables in Adoption of Crop Insurance: A Discriminant Function Approach
... dependent upon the individual characteristics. The discriminant function approach is an effective tool for classifying a set of observations into predefined classes. The purpose is to determine the class of ...
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A non parametric procedure to estimate a linear discriminant function with an application to credit scoring
... The other one is that, even though the wrilueof h used appropriate larger "optimal" is than this quite value, the results are still the estimation process for logistic in It the terms th[r] ...
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A discriminant function for predicting participant retention in fitness programs.
... The follcrfing five chapters describe the study in detail. Chapter II offers an extensive literature review including an overview of the world of fitness, related studies concerning fitness and fitness programs, ...
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A Discriminant Function Analysis of Co Variation of a Number of Syntactic Devices in Five Prose Genres
... it indicated z clear differentiaticr of fiction 'from.. Administrator Note Not clear in the Film.[r] ...
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An exploratory investigation of the processes involved in the completion of Raven's Progressive matrices (1938)
... subject's score is amongst those obtained by "bright" normals, and this subject was classified as being a "bright" normal in the discriminant function analysis.. Again, the nonparanoid s[r] ...
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Rapid method for testing susceptibility of Mycobacterium tuberculosis by using DNA probes
... Assuming a prior probability of 0.5 for each of the two groups susceptible and resistant from the values of the quotient, the discriminant function was used to obtain a cutoff value and [r] ...
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Discriminant analysis of antibiotic susceptibility as a means of bacterial identification
... An observation vector representing an unknown isolate is used in these functions, and a single scalar quantity is determined; one scalar is determined for each discriminant function.. Th[r] ...
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Use of computerized CT analysis to discriminate between Alzheimer patients and normal control subjects
... For model 2, the model that focused on ventricular and supraventricular regions, the discriminant function analysis selected two variables: the area of the third ventricle on slice 3 and[r] ...
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