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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.
Log-t or Log-Student t. In probability theory, a log-t distribution or log-Student t distribution is a probability distribution of a random variable whose logarithm is distributed in accordance with a Student's t-distribution. If X is a random variable with a Student's t-distribution, then Y = exp ( X) has a log-t distribution; likewise, if Y ...
Logarithmic. The function is only defined at integer values. The connecting lines are merely guides for the eye. In probability and statistics, the logarithmic distribution (also known as the logarithmic series distribution or the log-series distribution) is a discrete probability distribution derived from the Maclaurin series expansion.
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No. Company Industry Revenue (by US$ billion) Headquarters 1: Volkswagen Group: Automotive: 282.7 Germany 2: Toyota Group: Engineering, various: 265.172* Japan 3: Apple
The history of logarithms is the story of a correspondence (in modern terms, a group isomorphism) between multiplication on the positive real numbers and addition on the real number line that was formalized in seventeenth century Europe and was widely used to simplify calculation until the advent of the digital computer.
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