Gaussian distribution/Related Articles
- Mathematics : The study of quantities, structures, their relations, and changes thereof.
- Probability theory : Mathematical theory of randomness.
- Probability distribution : Function of a discrete random variable yielding the probability that the variable will have a given value.
- Applied statistics : the practice of collecting and interpreting numerical observations for the purpose of generating information.
- Carl Friedrich Gauss : German mathematician, who was one of the most influential figures in the history of mathematics and mathematical physics (1777 – 1855).
- Confidence interval : the range of a random variable, such as the mean of a sample, that — with a specified probability — contains the true value for the population.
- Error function : A function associated with the cumulative distribution function of the normal distribution.
- Errors and residuals in statistics : Comparison of two related notions of mathematical statistics.
- Fourier transform : Decomposition to the sum or integral of functions.
- Gamma function : A mathematical function that extends the domain of factorials to non-integers.
- Partial derivative : A function of several variables is its derivative with respect to one of those variables while all others are kept constant.
- Pascal's triangle : A convenient tabular presentation for the binomial coefficients.
- Photon : elementary particle with zero rest mass and unit spin associated with the electromagnetic field.
- Poisson distribution : a probability distribution that is typically used to model the number of independent events (occurring at a constant average rate) that fall within a stated interval.
- Random number : A member of a sequence of which the successive values cannot be predicted, produced by measurement of physical phenomena, appropriate algorithms, or a combination of the two
- Random variable : a variable whose value is determined by chance rather than as a result of a known cause.
- Standard deviation : A statistical measure for the fluctuation of a random variable about its mean value (the square root of the variance).
- Stochastic convergence : A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern.
- Taylor series : Representation of a function as an infinite sum of terms calculated from the values of its derivatives at a single point.
- Variance : A statistical measure of the variability of a random quantity (defined as the mean squared deviation from the mean value).