Dissertation/ Thesis
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Nonparametric density estimation for univariate and bivariate distributions with applications in discriminant analysis for the bivariate case

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Nonparametric density estimation for univariate and bivariate distributions with applications in discriminant analysis for the bivariate case
Συγγραφείς: Haug, Mark
Στοιχεία εκδότη: Kansas State University
Έτος έκδοσης: 2010
Συλλογή: Kansas State University: K-State Research Exchange (K-REx)
Θεματικοί όροι: Nonparametric statistics--Computer programs, Kernel functions--Computer programs, Population density--Statistical methods
Περιγραφή: Typescript (photocopy). ; Digitized by Kansas Correctional Industries ; Department: Statistics.
Τύπος εγγράφου: thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://hdl.handle.net/2097/9916
Διαθεσιμότητα: http://hdl.handle.net/2097/9916
Rights: This volume was digitized and made accessible online due to deterioration of the original print copy. If you are the author of this work and would like to have online access removed, please contact the Library Administration Office, 785-532-7400, library@k-state.edu.
Αριθμός Καταχώρησης: edsbas.39D02CFB
Βάση Δεδομένων: BASE
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  Data: Typescript (photocopy). ; Digitized by Kansas Correctional Industries ; Department: Statistics.
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      – SubjectFull: Nonparametric statistics--Computer programs
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      – SubjectFull: Kernel functions--Computer programs
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      – SubjectFull: Population density--Statistical methods
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