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51 relations: Accelerated failure time model, Beta function, Beta prime distribution, Binomial distribution, Burr distribution, Closed-form expression, Computer network, Confidence interval, Cumulative distribution function, Cumulative frequency analysis, Dagum distribution, Distribution of wealth, Economics, Expected value, Failure rate, Gini coefficient, Heavy-tailed distribution, Hydrology, Income distribution, Journal of Hydrology, Journal of the Royal Statistical Society, Kurtosis, Log-normal distribution, Logarithm, Logistic distribution, Median, Moment (mathematics), Monotonic function, Mortality rate, Parametric model, Precipitation, Probability, Probability density function, Probability distribution, Q–Q plot, Quantile function, Quartile, Random variable, Real-time computing, Scale parameter, Sensor, Shape parameter, Shifted log-logistic distribution, Skewness, Statistical dispersion, Statistics, Survival analysis, Survival function, Unimodality, Variance, ..., Weibull distribution. Expand index (1 more) »
Accelerated failure time model
In the statistical area of survival analysis, an accelerated failure time model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models.
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Beta function
In mathematics, the beta function, also called the Euler integral of the first kind, is a special function defined by for.
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Beta prime distribution
In probability theory and statistics, the beta prime distribution (also known as inverted beta distribution or beta distribution of the second kindJohnson et al (1995), p 248) is an absolutely continuous probability distribution defined for x > 0 with two parameters α and β, having the probability density function: where B is a Beta function.
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Binomial distribution
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own boolean-valued outcome: a random variable containing a single bit of information: success/yes/true/one (with probability p) or failure/no/false/zero (with probability q.
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Burr distribution
In probability theory, statistics and econometrics, the Burr Type XII distribution or simply the Burr distribution is a continuous probability distribution for a non-negative random variable.
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Closed-form expression
In mathematics, a closed-form expression is a mathematical expression that can be evaluated in a finite number of operations.
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Computer network
A computer network, or data network, is a digital telecommunications network which allows nodes to share resources.
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Confidence interval
In statistics, a confidence interval (CI) is a type of interval estimate, computed from the statistics of the observed data, that might contain the true value of an unknown population parameter.
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Cumulative distribution function
In probability theory and statistics, the cumulative distribution function (CDF, also cumulative density function) of a real-valued random variable X, or just distribution function of X, evaluated at x, is the probability that X will take a value less than or equal to x. In the case of a continuous distribution, it gives the area under the probability density function from minus infinity to x. Cumulative distribution functions are also used to specify the distribution of multivariate random variables.
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Cumulative frequency analysis
Cumulative frequency analysis is the analysis of the frequency of occurrence of values of a phenomenon less than a reference value.
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Dagum distribution
The Dagum distribution is a continuous probability distribution defined over positive real numbers.
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Distribution of wealth
--> The distribution of wealth is a comparison of the wealth of various members or groups in a society.
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Economics
Economics is the social science that studies the production, distribution, and consumption of goods and services.
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Expected value
In probability theory, the expected value of a random variable, intuitively, is the long-run average value of repetitions of the experiment it represents.
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Failure rate
Failure rate is the frequency with which an engineered system or component fails, expressed in failures per unit of time.
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Gini coefficient
In economics, the Gini coefficient (sometimes expressed as a Gini ratio or a normalized Gini index) is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measurement of inequality.
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Heavy-tailed distribution
In probability theory, heavy-tailed distributions are probability distributions whose tails are not exponentially bounded: that is, they have heavier tails than the exponential distribution.
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Hydrology
Hydrology is the scientific study of the movement, distribution, and quality of water on Earth and other planets, including the water cycle, water resources and environmental watershed sustainability.
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Income distribution
In economics, income distribution is how a nation’s total GDP is distributed amongst its population.
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Journal of Hydrology
Journal of Hydrology is a peer-reviewed academic journal about hydrological sciences including water based management and related policy issues.
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Journal of the Royal Statistical Society
The Journal of the Royal Statistical Society is a peer-reviewed scientific journal of statistics.
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Kurtosis
In probability theory and statistics, kurtosis (from κυρτός, kyrtos or kurtos, meaning "curved, arching") is a measure of the "tailedness" of the probability distribution of a real-valued random variable.
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Log-normal distribution
In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed.
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Logarithm
In mathematics, the logarithm is the inverse function to exponentiation.
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Logistic distribution
In probability theory and statistics, the logistic distribution is a continuous probability distribution.
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Median
The median is the value separating the higher half of a data sample, a population, or a probability distribution, from the lower half.
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Moment (mathematics)
In mathematics, a moment is a specific quantitative measure, used in both mechanics and statistics, of the shape of a set of points.
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Monotonic function
In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order.
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Mortality rate
Mortality rate, or death rate, is a measure of the number of deaths (in general, or due to a specific cause) in a particular population, scaled to the size of that population, per unit of time.
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Parametric model
In statistics, a parametric model or parametric family or finite-dimensional model is a family of distributions that can be described using a finite number of parameters.
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Precipitation
In meteorology, precipitation is any product of the condensation of atmospheric water vapor that falls under gravity.
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Probability
Probability is the measure of the likelihood that an event will occur.
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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.
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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.
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Q–Q plot
In statistics, a Q–Q (quantile-quantile) plot is a probability plot, which is a graphical method for comparing two probability distributions by plotting their quantiles against each other.
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Quantile function
In probability and statistics, the quantile function specifies, for a given probability in the probability distribution of a random variable, the value at which the probability of the random variable is less than or equal to the given probability.
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Quartile
A quartile is a type of quantile.
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Random variable
In probability and statistics, a random variable, random quantity, aleatory variable, or stochastic variable is a variable whose possible values are outcomes of a random phenomenon.
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Real-time computing
In computer science, real-time computing (RTC), or reactive computing describes hardware and software systems subject to a "real-time constraint", for example from event to system response.
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Scale parameter
In probability theory and statistics, a scale parameter is a special kind of numerical parameter of a parametric family of probability distributions.
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Sensor
In the broadest definition, a sensor is a device, module, or subsystem whose purpose is to detect events or changes in its environment and send the information to other electronics, frequently a computer processor.
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Shape parameter
In probability theory and statistics, a shape parameter is a kind of numerical parameter of a parametric family of probability distributions.
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Shifted log-logistic distribution
The shifted log-logistic distribution is a probability distribution also known as the generalized log-logistic or the three-parameter log-logistic distribution. It has also been called the generalized logistic distribution, but this conflicts with other uses of the term: see generalized logistic distribution.
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Skewness
In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
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Statistical dispersion
In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed.
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Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
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Survival analysis
Survival analysis is a branch of statistics for analyzing the expected duration of time until one or more events happen, such as death in biological organisms and failure in mechanical systems.
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Survival function
The survival function is a function that gives the probability that a patient, device, or other object of interest will survive beyond any given specified time.
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Unimodality
In mathematics, unimodality means possessing a unique mode.
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Variance
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.
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Weibull distribution
No description.
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Redirects here:
Fisk distribution, Generalized log-logistic distribution, Log logistic distribution, Loglogistic distribution.
References
[1] https://en.wikipedia.org/wiki/Log-logistic_distribution
