Health.Zone Web Search

Search results

  1. Results from the Health.Zone Content Network
  2. Logarithmic scale - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_scale

    Logarithmic scale. of the Internet host count over time shown on a logarithmic scale. A logarithmic scale (or log scale) is a method used to display numerical data that spans a broad range of values, especially when there are significant differences between the magnitudes of the numbers involved. Unlike a linear scale where each unit of ...

  3. Write-ahead logging - Wikipedia

    en.wikipedia.org/wiki/Write-ahead_logging

    Write-ahead logging. In computer science, write-ahead logging ( WAL) is a family of techniques for providing atomicity and durability (two of the ACID properties) in database systems. [1] A write ahead log is an append-only auxiliary disk-resident structure used for crash and transaction recovery. The changes are first recorded in the log ...

  4. Probability measure - Wikipedia

    en.wikipedia.org/wiki/Probability_measure

    In mathematics, a probability measure is a real-valued function defined on a set of events in a σ-algebra that satisfies measure properties such as countable additivity. The difference between a probability measure and the more general notion of measure (which includes concepts like area or volume) is that a probability measure must assign value 1 to the entire space.

  5. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    e. In mathematics, the logarithm is the inverse function to exponentiation. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 103, the logarithm base of 1000 is 3, or log10 (1000) = 3.

  6. List of logarithmic identities - Wikipedia

    en.wikipedia.org/wiki/List_of_logarithmic_identities

    For example, two numbers can be multiplied just by using a logarithm table and adding. These are often known as logarithmic properties, which are documented in the table below. The first three operations below assume that x = b c and/or y = b d, so that log b (x) = c and log b (y) = d. Derivations also use the log definitions x = b log b (x ...

  7. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    Thus for example the maximum likelihood estimate can be computed by taking derivatives of the sufficient statistic T and the log-partition function A. Example: the gamma distribution [ edit ] The gamma distribution is an exponential family with two parameters, α {\displaystyle \alpha } and β {\displaystyle \beta } .

  8. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    An explanation of logistic regression can begin with an explanation of the standard logistic function. The logistic function is a sigmoid function, which takes any real input , and outputs a value between zero and one. [2] For the logit, this is interpreted as taking input log-odds and having output probability.

  9. Glossary of mathematical symbols - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_mathematical...

    A mathematical symbol is a figure or a combination of figures that is used to represent a mathematical object, an action on mathematical objects, a relation between mathematical objects, or for structuring the other symbols that occur in a formula. As formulas are entirely constituted with symbols of various types, many symbols are needed for ...