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The method is as follows: Suppose you have p-values, sorted into order lowest-to-highest , …,, and their corresponding hypotheses , …, (null hypotheses). You want the FWER to be no higher than a certain pre-specified significance level.
s. -process. The slow neutron-capture process, or s-process, is a series of reactions in nuclear astrophysics that occur in stars, particularly asymptotic giant branch stars. The s -process is responsible for the creation ( nucleosynthesis) of approximately half the atomic nuclei heavier than iron . In the s -process, a seed nucleus undergoes ...
Linear multistep methods are used for the numerical solution of ordinary differential equations. Conceptually, a numerical method starts from an initial point and then takes a short step forward in time to find the next solution point. The process continues with subsequent steps to map out the solution.
A visual depiction of a Poisson point process starting. In probability theory, statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one ...
Split-step method. In numerical analysis, the split-step ( Fourier) method is a pseudo-spectral numerical method used to solve nonlinear partial differential equations like the nonlinear Schrödinger equation. The name arises for two reasons. First, the method relies on computing the solution in small steps, and treating the linear and the ...
Probability theory. In probability and statistics, a Bernoulli process (named after Jacob Bernoulli) is a finite or infinite sequence of binary random variables, so it is a discrete-time stochastic process that takes only two values, canonically 0 and 1. The component Bernoulli variables Xi are identically distributed and independent.
A process control block ( PCB ), also sometimes called a process descriptor, is a data structure used by a computer operating system to store all the information about a process . When a process is created (initialized or installed), the operating system creates a corresponding process control block, which specifies and tracks the process state ...
In statistics and signal processing, step detection (also known as step smoothing, step filtering, shift detection, jump detection or edge detection) is the process of finding abrupt changes (steps, jumps, shifts) in the mean level of a time series or signal. It is usually considered as a special case of the statistical method known as change ...