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  2. Random graph - Wikipedia

    en.wikipedia.org/wiki/Random_graph

    A random graph is obtained by starting with a set of n isolated vertices and adding successive edges between them at random. The aim of the study in this field is to determine at what stage a particular property of the graph is likely to arise. [3] Different random graph models produce different probability distributions on graphs.

  3. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    This does not look random, but it satisfies the definition of random variable. This is useful because it puts deterministic variables and random variables in the same formalism. The discrete uniform distribution, where all elements of a finite set are equally likely. This is the theoretical distribution model for a balanced coin, an unbiased ...

  4. Randomization - Wikipedia

    en.wikipedia.org/wiki/Randomization

    Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups. [1] [2] [3] The process is crucial in ensuring the random allocation of experimental units or treatment protocols, thereby minimizing selection bias and enhancing the statistical validity. [4]

  5. Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Simple_random_sample

    Not only does each person have an equal chance of being selected, we can also easily calculate the probability (P) of a given person being chosen, since we know the sample size (n) and the population (N): 1. In the case that any given person can only be selected once (i.e., after selection a person is removed from the selection pool):

  6. Systematic sampling - Wikipedia

    en.wikipedia.org/wiki/Systematic_sampling

    where n is the sample size, and N is the population size. Using this procedure each element in the population has a known and equal probability of selection (also known as epsem). This makes systematic sampling functionally similar to simple random sampling (SRS). However, it is not the same as SRS because not every possible sample of a certain ...

  7. Random number table - Wikipedia

    en.wikipedia.org/wiki/Random_number_table

    In the 1950s, a hardware random number generator named ERNIE was used to draw British premium bond numbers. The first "testing" of random numbers for statistical randomness was developed by M.G. Kendall and B. Babington Smith in the late 1930s, and was based upon looking for certain types of probabilistic expectations in a given sequence. The ...

  8. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    It is based on a simple random sample (with replacement, denoted SIR) of n items from a population of size N. [i] Each item has a probability of (k from 1 to N) to be drawn in a single draw (=, i.e. it is a multinomial distribution).

  9. Tournament selection - Wikipedia

    en.wikipedia.org/wiki/Tournament_selection

    Selection pressure is then a probabilistic measure of a chromosome's likelihood of participation in the tournament based on the participant selection pool size, is easily adjusted by changing the tournament size. The reason is that if the tournament size is larger, weak individuals have a smaller chance to be selected, because, if a weak ...

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