TY - GEN
A1 - Piegat, Andrzej
A1 - Landowski, Marek
A2 - Korbicz, Józef - red.
A2 - Uciński, Dariusz - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - 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.
L1 - http://www.zbc.uz.zgora.pl/Content/47015/AMCS_2012_22_3_11.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/47015
KW - single-case problem
KW - probability
KW - probability estimation
KW - frequency interpretation of probability
KW - completeness interpretation of probability
KW - uncertainty theory
T1 - Optimal estimator of hypothesis probability for data mining problems with small samples
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=47015
ER -