9786131156748 - Schrödinger Method: Mathematics, Combinatorics, Probability Theory, Erwin Schrödinger, Random Variable (4 resultados)

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In combinatorial mathematics and probability theory, the Schrödinger method, named after the Austrian physicist Erwin Schrödinger, is used to solve some problems of distribution and occupancy. Suppose X_1,dots,X_n , are independent random variables that are uniformly distributed on the interval [0, 1]. Let X_{(1)},dots,X_{(n)} , be the corresponding order statistics, i.e., the result of sorting these n random variables into increasing order. We seek the probability of some event A defined in terms of these order statistics. For example, we might seek the probability that in a certain seven-day period there were at most two days in on which only one phone call was received, given that the number of phone calls during that time was 20. This assumes uniform distribution of arrival times. The Schrödinger method begins by assigning a Poisson distribution with expected value t to the number of observations in the interval [0, t], the number of observations in non-overlapping subintervals being independent (see Poisson process). The number N of observations is Poisson-distributed with expected value . 112 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In combinatorial mathematics and probability theory, the Schrödinger method, named after the Austrian physicist Erwin Schrödinger, is used to solve some problems of distribution and occupancy. Suppose X_1,dots,X_n , are independent random variables that are uniformly distributed on the interval [0, 1]. Let X_{(1)},dots,X_{(n)} , be the corresponding order statistics, i.e., the result of sorting these n random variables into increasing order. We seek the probability of some event A defined in terms of these order statistics. For example, we might seek the probability that in a certain seven-day period there were at most two days in on which only one phone call was received, given that the number of phone calls during that time was 20. This assumes uniform distribution of arrival times. The Schrödinger method begins by assigning a Poisson distribution with expected value t to the number of observations in the interval [0, t], the number of observations in non-overlapping subintervals being independent (see Poisson process). The number N of observations is Poisson-distributed with expected value .

Taschenbuch. Condición: Neu. Schrödinger Method | Mathematics, Combinatorics, Probability Theory, Erwin Schrödinger, Random Variable | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131156748 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In combinatorialmathematics and probability theory, the Schrödinger method, named afterthe Austrian physicist Erwin Schrödinger, is used to solve some problemsof distribution and occupancy. Suppose X_1,dots,X_n , are independentrandom variables that are uniformly distributed on the interval [0, 1].Let X_{(1)},dots,X_{(n)} , be the corresponding order statistics, i.e.the result of sorting these n random variables into increasing order. Weseek the probability of some event A defined in terms of these orderstatistics. For example, we might seek the probability that in a certainseven-day period there were at most two days in on which only one phonecall was received, given that the number of phone calls during that timewas 20. This assumes uniform distribution of arrival times. TheSchrödinger method begins by assigning a Poisson distribution withexpected value ¿t to the number of observations in the interval [0, t]the number of observations in non-overlapping subintervals beingindependent (see Poisson process). The number N of observations isPoisson-distributed with expected value ¿.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.