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The Kernel method of density estimation using Turbo Pascal version 4.0

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Τίτλος: The Kernel method of density estimation using Turbo Pascal version 4.0
Συγγραφείς: Dizon, Michael Israel S., Salvador, Rommel O.
Πηγή: Bachelor's Theses
Στοιχεία εκδότη: Animo Repository
Έτος έκδοσης: 1991
Θεματικοί όροι: Kernel functions, Probabilities, PASCAL (Computer program language), Functions--Computer programs, Computer programs
Περιγραφή: Density Estimation, particularly the procedure using Kernel Functions, is fast becoming a crucial area of investigation in non-parametric statistics. This paper presents a computer program which empirically produces estimates of probability density functions using Kernel functions. It also attempts to evaluate the discrepancy of the estimates, as well as to collate observations on the resulting estimates, using as reference the limited samples generated and particular Kernel functions.
Τύπος εγγράφου: text
Γλώσσα: English
Relation: https://animorepository.dlsu.edu.ph/etd_bachelors/16015
Διαθεσιμότητα: https://animorepository.dlsu.edu.ph/etd_bachelors/16015
Αριθμός Καταχώρησης: edsbas.95C43AB8
Βάση Δεδομένων: BASE
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  Data: The Kernel method of density estimation using Turbo Pascal version 4.0
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  Data: <searchLink fieldCode="AR" term="%22Dizon%2C+Michael+Israel+S%2E%22">Dizon, Michael Israel S.</searchLink><br /><searchLink fieldCode="AR" term="%22Salvador%2C+Rommel+O%2E%22">Salvador, Rommel O.</searchLink>
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  Data: Bachelor's Theses
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  Data: 1991
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  Data: <searchLink fieldCode="DE" term="%22Kernel+functions%22">Kernel functions</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilities%22">Probabilities</searchLink><br /><searchLink fieldCode="DE" term="%22PASCAL+%28Computer+program+language%29%22">PASCAL (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Functions--Computer+programs%22">Functions--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programs%22">Computer programs</searchLink>
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  Data: Density Estimation, particularly the procedure using Kernel Functions, is fast becoming a crucial area of investigation in non-parametric statistics. This paper presents a computer program which empirically produces estimates of probability density functions using Kernel functions. It also attempts to evaluate the discrepancy of the estimates, as well as to collate observations on the resulting estimates, using as reference the limited samples generated and particular Kernel functions.
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      – Text: English
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      – SubjectFull: PASCAL (Computer program language)
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              Y: 1991
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