Random variable mathematics probability (34 resultados)

Taschenbuch. Condición: Neu. Hoeffding's inequality | Probability theory, Inequality (mathematics), Upper and lower bounds, Probability, Random variable, Expected value, Wassily Hoeffding, Independence | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786133774254 | 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. Inverse Gaussian Distribution | Probability theory, Support (mathematics), Wiener process, Normal distribution, Probability density function, Tweedie distributions, Random variable, Independence (probability theory) | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130620264 | 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. Method of Moments ( statistics) | Method of moments (probability theory), Statistics, Moment (mathematics), Random variable | Stefanu Elias Aloysius | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786135909425 | 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. Random Element | Maurice Fréchet, Random Variable, Function (Mathematics), Probability Vector, Topological Vector Space | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131366581 | 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. Uniform Distribution | Probability Theory, Mathematics, Statistical Randomness, Random Variable, Stochastic Process, Central Limit Theorem, Statistics, Mathematical Statistics | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130337056 | 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. Statistical Unit | Statistical Unit, Random Variable, Mathematics, Probability Theory, Central Limit Theorem, Measure Mathematics, Probability Density Function | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130336981 | 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. Probability Density Function | Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution Function | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130342968 | 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. Probabilistic Method | Constructive Proof, Combinatorics, Paul Erd¿s, Probability, Mathematics, Number Theory, Linear Algebra, Real Analysis, Expected Value, Random Variable | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130347833 | 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. Random variable | Mathematics, Probability Theory, Game of Chance, Stochastic, Experiment, Probability, Measure, Random Variate, Probability Density Function, Sample Space | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130344467 | 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. Jensen's Inequality | Mathematics, Convex function, Integral, Secant line, Probability theory, Random variable | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786133760059 | 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. Anderson's Theorem | Mathematics, Real analysis, Geometry, Integral, Convex body, Graph of a function, Probability theory, Random variable | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786132700773 | 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. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory, Hoeffding's inequality provides an upper bound on theprobability for the sum of random variables to deviate from its expectedvalue. Hoeffding's inequality was proved by Wassily Hoeffding.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In mathematics, adegenerate distribution is the probability distribution of a discreterandom variable whose support consists of only one value. Examplesinclude a two-headed coin and rolling a die whose sides all show thesame number. While this distribution does not appear random in theeveryday sense of the word, it does satisfy the definition of randomvariable.…

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. Wishart Distribution | Statistics, Chi-Square Distribution, Gamma Distribution, John Wishart (statistician), Probability Distribution, Matrix (mathematics), Random Variable | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130362317 | 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. Probability Space | Probability Space, Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution Function | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130343064 | 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. Probit | Probit, Probability Space, Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130343132 | 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. Random variable | Mathematics, Probability Theory, Game of Chance, Stochastic, Experiment, Probability, Measure, Random Variate, Probability Density Function, Sample Space, Probability Mass Function | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130344221 | 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. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In statisticsthe method of moments is a method of estimation of population parameterssuch as mean, variance, median, etc. (which need not be moments), byequating sample moments with unobservable population moments and thensolving those equations for the quantities to be estimated.Suppose X1., Xn are independent identically distributed random variables with agamma distribution with probability density function.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In mathematicsAnderson's theorem is a result in real analysis and geometry which saysthat the integral of an integrable, symmetric, unimodal, non-negativefunction f over an n-dimensional convex body K does not decrease if K istranslated inwards towards the origin. This is a natural statementsince the graph of f can be thought of as a hill with a single peak overthe origin; however, for n ¿ 2, the proof is not entirely obvious, asthere may be points x of the body K where the value f(x) is larger thanat the corresponding translate of x. Anderson's theorem also has aninteresting application to probability theory.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In mathematicsJensen's inequality, named after the Danish mathematician Johan Jensenrelates the value of a convex function of an integral to the integral ofthe convex function. It was proved by Jensen in 1906. Given itsgenerality, the inequality appears in many forms depending on thecontext, some of which are presented below. In its simplest form theinequality states that the convex transformation of a mean is less thanor equal to the mean after convex transformation; it is a simplecorollary that the opposite is true of concave transformations.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The term random element was introduced by Maurice Fréchet in 1948 to refer to a random variable that takes values in spaces more general than had previously been widely considered. Fréchet commented that the 'development of probability theory and expansion of area of its applications have led to necessity to pass from schemes where (random) outcomes of experience can be described by number or a finite set of numbers, to schemes where outcomes of experience represent, for example, vectors, functions, processes, fields, series, transformations, and also sets or collections of sets'.The modern day usage of 'random element' frequently assumes the space of values is a topological vector space, often a Banach or Hilbert space with a specified natural sigma algebra of subsets.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory, Markov's inequality gives an upper bound for the probabilitythat a non-negative function of a random variable is greater than orequal to some positive constant. It is named after the Russianmathematician Andrey Markov, although it appeared earlier in the work ofPafnuty Chebyshev (Markov's teacher), and many sources, especially inanalysis, refer to it as Chebychev's inequality or Bienaymé'sinequality. Markov's inequality (and other similar inequalities) relateprobabilities to expectations, and provide (frequently) loose but stilluseful bounds for the cumulative distribution function of a randomvariable. An example of an application of Markov's inequality is thefact that (assuming incomes are non-negative) no more than 1/5th of thepopulation can have more than 5 times the average income.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In probability theory and statistics, the discrete uniform distribution is a discrete probability distribution that can be characterized by saying that all values of a finite set of possible values are equally probable. In case the values of a random variable with a discrete uniform distribution are real, it is possible to express the cumulative distribution function in terms of the degenerate distribution.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! A unit in a statistical analysis refers to one member of a set of entities being studied. It is the material source for the mathematical abstraction of a 'random variable'. Common examples of a unit would be a single person, animal, plant, or manufactured item that belongs to a larger collection of such entities being studied. Units are often referred to as being either 'experimental units' or 'sampling units'. In most statistical studies, the goal is to generalize from the observed units to a larger set consisting of all comparable units that exist but are not directly observed. For example, if we randomly sample 100 people and ask them which candidate they intend to vote for in an election, our main interest is in the voting behavior of all eligible voters, not exclusively on the 100 observed units.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, random variables are used in the study of probability. They were developed to assist in the analysis of games of chance, stochastic events, and the results of scientific experiments by capturing only the mathematical properties necessary to answer probabilistic questions. Further formalizations have firmly grounded the entity in the theoretical domains of mathematics by making use of measure theory. The language and structure of random variables can be grasped at various levels of mathematical fluency. Beyond an introductory level, set theory and calculus are fundamental. The concept of a random variable is closely linked to the term 'random variate': a random variate is a particular outcome of a random variable.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul Erd s, for proving the existence of a prescribed kind of mathematical object. It works by showing that if one randomly chooses objects from a specified class, the probability that the result is of the prescribed kind is more than zero. Although the proof uses probability, the final conclusion is determined for certain, without any possible error. This method has now been applied to other areas of mathematics such as number theory, linear algebra, and real analysis.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In probability theory, a probability density function of a continuous random variable is a function that describes the relative likelihood for this random variable to occur at a given point in the observation space. The probability of a random variable falling within a given set is given by the integral of its density over the set. On rare occasions the term probability distribution function is used to denote the probability density function. However special care should be taken around this term, since in other sources the probability distribution function may refer to either the probability distribution function, or the cumulative distribution function, or may be a probability mass function rather than a density.…

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. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, random variables are used in the study of probability. They were developed to assist in the analysis of games of chance, stochastic events, and the results of scientific experiments by capturing only the mathematical properties necessary to answer probabilistic questions. Further formalizations have firmly grounded the entity in the theoretical domains of mathematics by making use of measure theory. The language and structure of random variables can be grasped at various levels of mathematical fluency. Beyond an introductory level, set theory and calculus are fundamental. The concept of a random variable is closely linked to the term 'random variate': a random variate is a particular outcome of a random variable.…