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  2. Serial-position effect - Wikipedia

    en.wikipedia.org/wiki/Serial-position_effect

    Serial-position effect is the tendency of a person to recall the first and last items in a series best, and the middle items worst. [1] The term was coined by Hermann Ebbinghaus through studies he performed on himself, and refers to the finding that recall accuracy varies as a function of an item's position within a study list. [ 2 ]

  3. Hermann Ebbinghaus - Wikipedia

    en.wikipedia.org/wiki/Hermann_Ebbinghaus

    Like the forgetting curve, the learning curve is exponential. Ebbinghaus had also documented the serial position effect, which describes how the position of an item affects recall. The two main concepts in the serial position effect are recency and primacy.

  4. Weibull distribution - Wikipedia

    en.wikipedia.org/wiki/Weibull_distribution

    Its complementary cumulative distribution function is a stretched exponential function. The Weibull distribution is related to a number of other probability distributions; in particular, it interpolates between the exponential distribution ( k = 1) and the Rayleigh distribution ( k = 2 and λ = 2 σ {\displaystyle \lambda ={\sqrt {2}}\sigma } ).

  5. Serial memory processing - Wikipedia

    en.wikipedia.org/wiki/Serial_memory_processing

    Serial memory processing is the act of attending to and processing one item at a time. This is usually contrasted against parallel memory processing, which is the act ...

  6. Autocorrelation - Wikipedia

    en.wikipedia.org/wiki/Autocorrelation

    Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable as a function of the time lag between them.

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/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.Thus, if the random variable X is log-normally distributed, then Y = ln(X) has a normal distribution.

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...

  9. Talk:Serial-position effect - Wikipedia

    en.wikipedia.org/wiki/Talk:Serial-position_effect

    The body of the article is very well comprised. The section on the primacy effect accurately describes the term and what role it plays in the serial-position effect. In addition, the recency effect section in the body of the article follows a same relevance and support to the reader in understanding the initial term for which the article was ...