Probability and Measure
Sorozatcím: Wiley Series in Probability and Statistics;
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10% KEDVEZMÉNY?
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49 686 Ft (47 320 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 4 969 Ft off)
- Kedvezményes ár 44 717 Ft (42 588 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
49 686 Ft
Beszerezhetőség
A kiadónál véglegesen elfogyott, nem rendelhető. Érdemes újra keresni a címmel, hátha van újabb kiadás.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 3rd Edition
- Kiadó Wiley?Blackwell
- Megjelenés dátuma 1995. május 26.
- ISBN 9780471007104
- Kötéstípus Keménykötés
- Terjedelem608 oldal
- Méret 241x165x33 mm
- Súly 966 g
- Nyelv angol 0
Kategóriák
Rövid leírás:
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability.
Hosszú leírás:
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
Tartalomjegyzék:
Probability.
Measure.
Integration.
Random Variables and Expected Values.
Convergence of Distributions.
Derivatives and Conditional Probability.
Stochastic Processes.
Appendix.
Notes on the Problems.
Bibliography.
List of Symbols.
Index.
Probability and Measure
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