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The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and get [2,5,4,4,1]), so, assuming N is sufficiently large, for all practical purposes there is virtually zero probability that it will be identical to the original "real" sample. This process is repeated a large ...
In statistics, a multimodal distribution is a probability distribution with more than one mode (i.e., more than one local peak of the distribution). These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2. Categorical, continuous, and discrete data can all form multimodal distributions.
PLC—Power Line Communication; PLC—Programmable Logic Controller; PLD—Programmable Logic Device; PL/I—Programming Language One; PL/M—Programming Language for Microcomputers; PL/P—Programming Language for Prime; PLT—Power Line Telecommunications; PMM—POST Memory Manager; PNG—Portable Network Graphics; PnP—Plug-and-Play
Kamala Harris’ efforts to shut down “lock him up” chants targeting Donald Trump at rallies may be an effort to avoid further delays in his Jan. 6 election interference trial.
Temporal paradox. A temporal paradox, time paradox, or time travel paradox, is a paradox, an apparent contradiction, or logical contradiction associated with the idea of time travel or other foreknowledge of the future. While the notion of time travel to the future complies with the current understanding of physics via relativistic time ...
J.D. Vance’s “cat lady” comments are continuing to dog him, with political figures, celebrities and ordinary Americans slamming his remarks.
In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln (X) has a normal distribution. [ 2][ 3] Equivalently, if Y has a normal distribution, then the exponential ...
The Bernoulli distribution, which takes value 1 with probability p and value 0 with probability q = 1 − p. The Rademacher distribution, which takes value 1 with probability 1/2 and value −1 with probability 1/2. The binomial distribution, which describes the number of successes in a series of independent Yes/No experiments all with the same ...