Knygos.lt nariams
Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
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- Autorius: James J Buckley
- Leidėjas: Physica Verlag
- Metai: 2012
- Puslapiai: 165
- ISBN-10: 364286788X
- ISBN-13: 9783642867880
- Formatas: 15.6 x 23.4 x 1 cm, minkšti viršeliai
- Kalba: Anglų
Atsiliepimai
Aprašymas
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.
- Autorius: James J Buckley
- Leidėjas: Physica Verlag
- Metai: 2012
- Puslapiai: 165
- ISBN-10: 364286788X
- ISBN-13: 9783642867880
- Formatas: 15.6 x 23.4 x 1 cm, minkšti viršeliai
- Kalba: Anglų
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.
Atsiliepimai