In this article, it was planned that we shall discuss Discriminant and Cluster analysis. While preparing the discussions for both topics, there was an overwhelming large amount of information and thus we shall concentrate on Discriminant analysis only and leave Cluster analysis to Biostatistics 304. Discriminant analysis (DA) was the traditional statistical technique used for differentiating gr...

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Principles of classifi cation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 The classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 Main categories of classifi cation methods ...

sardari is one of the most important landraces of common wheat (triticum aestivum l.) that is mainly cultivated in drylands and mountainous area of iran. moreover, it shows a high level of genetic diversity. in the present research a total of 73 sardari wheat ecotypes were evaluated for drought tolerance. genetic diversity was analyzed using amplified fragment length polymorphism (aflp) marker ...

Data from 131 calvings of Chianina crossbred cows (2 to 5 yr old) bred to Chianina bulls were used to compare stepwise multiple regression analysis (RA) and stepwise, two-group discriminant analysis (DA) for predicting dystocia. Variables (21) studied in relation to dystocia included both prebreeding and precalving cow and calf effects. Calving was categorized as either unassisted or assisted w...

A highly accurate statistical model has been developed to determine the exact type of chamomile used in the production of commercial herbal products. The model was developed from accurate GC/MS data obtained with an Agilent 7890 GC and Agilent 5975 GC/MSD. Quality control of the samples was performed by Principal Component Analysis (PCA) and a sample class prediction model based on Partial Leas...

Riassunto: Several authors proposed a number of approaches for constructing easily interpretable components still preserving the nice features of the principal components. The work employs one such approach to produce interpretable canonical variates and explore their discrimination and classification behavior. Discriminant analysis (DA) is a descriptive multivariate technique for analyzing gro...

Automated head-space solid-phase microextraction (HS-SPME)-based sampling procedure, coupled to gas chromatography-time-of-flight mass spectrometry (GC-TOFMS), was developed and employed for obtaining of fingerprints (GC profiles) of beer volatiles. In total, 265 speciality beer samples were collected over a 1-year period with the aim to distinguish, based on analytical (profiling) data, (i) th...

Actaea racemosa (black cohosh) has a history of traditional use in the treatment of general gynecological problems. However, the plant is known to be vulnerable to adulteration with other cohosh species. This study evaluated the use of shortwave infrared hyperspectral imaging (SWIR-HSI) in tandem with chemometric data analysis as a fast alternative method for the discrimination of four cohosh s...

Multispectral imaging is an emerging non-destructive technology. In this work its potential for varietal discrimination and identification of tomato cultivars of Nepal was investigated. Two sample sets were used for the study, one with two parents and their crosses and other with eleven cultivars to study parents and offspring relationship and varietal identification respectively. Normalized ca...

The subject of this paper is an experimental study of a discriminant analysis (DA) based on Gaussian mixture estimation of the class-conditional densities. Five parameterizations of the covariance matrixes of the Gaussian components are studied. Recommendation for selection of the suitable parameterization of the covariance matrixes is given.