Glossary of probability and statistics and Probability

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Glossary of probability and statistics and Probability

Glossary of probability and statistics vs. Probability

Most of the terms listed in Wikipedia glossaries are already defined and explained within Wikipedia itself. Probability is the measure of the likelihood that an event will occur.

Bayes' theorem

In probability theory and statistics, Bayes’ theorem (alternatively Bayes’ law or Bayes' rule, also written as Bayes’s theorem) describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

Bayes' theorem and Glossary of probability and statistics · Bayes' theorem and Probability · See more »

Complementary event

In probability theory, the complement of any event A is the event, i.e. the event that A does not occur.

Complementary event and Glossary of probability and statistics · Complementary event and Probability · See more »

Conditional probability

In probability theory, conditional probability is a measure of the probability of an event (some particular situation occurring) given that (by assumption, presumption, assertion or evidence) another event has occurred.

Conditional probability and Glossary of probability and statistics · Conditional probability and Probability · See more »

Estimation theory

Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component.

Estimation theory and Glossary of probability and statistics · Estimation theory and Probability · See more »

Estimator

In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished.

Estimator and Glossary of probability and statistics · Estimator and Probability · See more »

Event (probability theory)

In probability theory, an event is a set of outcomes of an experiment (a subset of the sample space) to which a probability is assigned.

Event (probability theory) and Glossary of probability and statistics · Event (probability theory) and Probability · See more »

Independence (probability theory)

In probability theory, two events are independent, statistically independent, or stochastically independent if the occurrence of one does not affect the probability of occurrence of the other.

Glossary of probability and statistics and Independence (probability theory) · Independence (probability theory) and Probability · See more »

Joint probability distribution

Given random variables X, Y,..., that are defined on a probability space, the joint probability distribution for X, Y,...

Glossary of probability and statistics and Joint probability distribution · Joint probability distribution and Probability · See more »

Likelihood function

In frequentist inference, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, given specific observed data.

Glossary of probability and statistics and Likelihood function · Likelihood function and Probability · See more »

Mathematics

Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") is the study of such topics as quantity, structure, space, and change.

Glossary of probability and statistics and Mathematics · Mathematics and Probability · See more »

Mutual exclusivity

In logic and probability theory, two events (or propositions) are mutually exclusive or disjoint if they cannot both occur (be true).

Glossary of probability and statistics and Mutual exclusivity · Mutual exclusivity and Probability · See more »

Posterior probability

In Bayesian statistics, the posterior probability of a random event or an uncertain proposition is the conditional probability that is assigned after the relevant evidence or background is taken into account.

Glossary of probability and statistics and Posterior probability · Posterior probability and Probability · See more »

Prior probability

In Bayesian statistical inference, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some evidence is taken into account.

Glossary of probability and statistics and Prior probability · Prior probability and Probability · See more »

Probability axioms

In Kolmogorov's probability theory, the probability P of some event E, denoted P(E), is usually defined such that P satisfies the Kolmogorov axioms, named after the Russian mathematician Andrey Kolmogorov, which are described below.

Glossary of probability and statistics and Probability axioms · Probability and Probability axioms · See more »

Probability density function

In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function, whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would equal that sample.

Glossary of probability and statistics and Probability density function · Probability and Probability density function · See more »

Probability distribution

In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

Glossary of probability and statistics and Probability distribution · Probability and Probability distribution · See more »

Probability space

In probability theory, a probability space or a probability triple (\Omega, \mathcal, P) is a mathematical construct that models a real-world process (or “experiment”) consisting of states that occur randomly.

Glossary of probability and statistics and Probability space · Probability and Probability space · See more »

Sample space

In probability theory, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment.

Glossary of probability and statistics and Sample space · Probability and Sample space · See more »

Statistical inference

Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution.

Glossary of probability and statistics and Statistical inference · Probability and Statistical inference · See more »

Statistical model

A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of some sample data and similar data from a larger population.

Glossary of probability and statistics and Statistical model · Probability and Statistical model · See more »

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

Glossary of probability and statistics and Statistics · Probability and Statistics · See more »