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  2. Finite difference coefficient - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_coefficient

    where the only non-zero value on the right hand side is in the (+)-th row. An open source implementation for calculating finite difference coefficients of arbitrary derivates and accuracy order in one dimension is available.

  3. Dosimetry - Wikipedia

    en.wikipedia.org/wiki/Dosimetry

    Joanna Izewska gives Ambassador Frank Recker and his delegation a tour of the IAEA Dosimetry Laboratory.. Radiation dosimetry in the fields of health physics and radiation protection is the measurement, calculation and assessment of the ionizing radiation dose absorbed by an object, usually the human body.

  4. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    Therefore, the true derivative of f at x is the limit of the value of the difference quotient as the secant lines get closer and closer to being a tangent line: ′ = (+) (). Since immediately substituting 0 for h results in 0 0 {\displaystyle {\frac {0}{0}}} indeterminate form , calculating the derivative directly can be unintuitive.

  5. Central tendency - Wikipedia

    en.wikipedia.org/wiki/Central_tendency

    In statistics, a central tendency (or measure of central tendency) is a central or typical value for a probability distribution. [1] Colloquially, measures of central tendency are often called averages. The term central tendency dates from the late 1920s. [2] The most common measures of central tendency are the arithmetic mean, the median, and ...

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    Click Install to download the software. Click Finish. Install SafeCentral from a Mac. Log in to your AOL account. Visit the SafeCentral product page.

  7. Noncentral F-distribution - Wikipedia

    en.wikipedia.org/wiki/Noncentral_F-distribution

    It describes the distribution of the quotient (X/n 1)/(Y/n 2), where the numerator X has a noncentral chi-squared distribution with n 1 degrees of freedom and the denominator Y has a central chi-squared distribution with n 2 degrees of freedom. It is also required that X and Y are statistically independent of each other.

  8. Central moment - Wikipedia

    en.wikipedia.org/wiki/Central_moment

    The first few central moments have intuitive interpretations: The "zeroth" central moment μ 0 is 1. The first central moment μ 1 is 0 (not to be confused with the first raw moment or the expected value μ). The second central moment μ 2 is called the variance, and is usually denoted σ 2, where σ represents the standard deviation.

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    SafeCentral is a secure browser for banking & shopping websites. It helps protect your online transactions from hackers & cyber thieves. Try it FREE now.