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A Generalization of the Mean-Variance Analysis
SSRN Electronic Journal, 2008In this paper we consider a decision maker whose utility function has a kink at the reference point with different functions below and above this reference point. We also suppose that the decision maker generally distorts the objective probabilities.
Valeri Zakamouline, Steen Koekebakker
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Important considerations in the analysis of generation means
Euphytica, 1988The weighted least squares (WLS) procedure has been widely used in the analysis of generation means in biometrical genetics. Two methods to carry out the analysis have been presented in the literature (Mather & Jinks, 1971; Rowe & Alexander, 1980). Neither method identified the factors that need to be taken into account when deciding which procedure to
Robert J. Beaver, Jorge A. Mosjidis
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Generation Means Analysis of Oil Concentration in Peanut
Journal of Crop Improvement, 2013The current interest in biodiesel production has resulted in a concurrent interest in increasing the oil concentration in high-yielding cultivars, which could make peanuts (Arachis hypogaea.) more desirable as a biofuel source. Currently, peanut seed is approximately 450 to 500 g kg−1 oil on a dry weight basis, depending upon location grown, and there ...
Jeffrey N. Wilson +4 more
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GENERATION MEAN ANALYSIS IN FINGER MILLET
Madras Agricultural Journal, 1997Five generation mean analysis was undertaken in finger millet (Eleusine coracuna Gaertn.) involving six parents, Co 7. Co 9, Co 13, Indaf 9, MS 2655 and MS 2863 and F1, F2 and F3 generations of four crosses Co9 x Co13, Co9 x Indaf 9, Co9 x Co7 and MS 2863 x MS 2655 for eight quantitative characters.
MARIMUTHU R, RAJAGOPALAN R
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Generation Means Analysis Using Mixed Models
Crop Science, 2010ABSTRACTThis paper shows how to perform generation means analysis, including estimation of genetic variance components, by a mixed model package. The approach is exemplified with a small dataset, which is analyzed by the MIXED procedure of the SAS System and by ASReml.
H. P. Piepho, J. Möhring
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A generalized analysis of the dependence structure by means of ANOVA
Journal of Applied Statistics, 2015The multiple non-symmetric correspondence analysis (MNSCA) is a useful technique for analysing the prediction of a categorical variable through two or more predictor variables placed in a contingency table. In MNSCA framework, for summarizing the predictability between criterion and predictor variables, the Multiple-TAU index has been proposed.
D'Ambra, Antonello +2 more
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Generalized means-ends analysis and artificial intelligence
Information Sciences, 1971Artificial intelligence programs in the areas of theorem proving, problem solving (including analogies), concept formation, and pattern recognition are viewed as particularizations of a generalized means-ends analysis schema. The structural similarities among the various problem solvers are stressed.
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Classification of shoulder complaints in general practice by means of cluster analysis
Archives of Physical Medicine and Rehabilitation, 1997To determine if a classification of shoulder complaints in general practice can be made with a cluster analysis of variables of medical history and physical examination.One hundred one patients with shoulder complaints were examined upon inclusion (week 0) and after 2 weeks.
Winters, JC +4 more
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Generalized re-weighting local sampling mean discriminant analysis
Pattern Recognition, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Chai +2 more
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