Autor:

Piegat, Andrzej ; Landowski, Marek

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Tytuł:

Optimal estimator of hypothesis probability for data mining problems with small samples

Tytuł publikacji grupowej:

AMCS, Volume 22 (2012)

Temat i słowa kluczowe:

single-case problem ; probability ; probability estimation ; frequency interpretation of probability ; completeness interpretation of probability ; uncertainty theory

Abstract:

The paper presents a new (to the best of the authors? knowledge) estimator of probability along with a theoretical derivation of its optimality. The estimator is especially suitable for a small number of sample items, which is the feature of many real problems characterized by data insufficiency. The control parameter of the estimator is not assumed in an "a priori", subjective way, but was determined on the basis of an optimization criterion (the least absolute errors).The estimator was compared with the universally used frequency estimator of probability and with Cestnik's m-estimator with respect to accuracy. The comparison was realized both theoretically and experimentally.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2012

Typ zasobu:

artykuł

DOI:

10.2478/v10006-012-0048-z

Strony:

629-645

Źródło:

AMCS, Volume 22, Number 3 (2012) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego