Probit: Probability Theory, Inverse Function, Cumulative Distribution Function, Quantile Function, Normal Distribution, Q-Q plot, Probit Model, Sigmoid Function - Softcover

 
9786130348106: Probit: Probability Theory, Inverse Function, Cumulative Distribution Function, Quantile Function, Normal Distribution, Q-Q plot, Probit Model, Sigmoid Function

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the probit function is the inverse cumulative distribution function (CDF), or quantile function associated with the standard normal distribution. It has applications in exploratory statistical graphics and specialized regression modeling of binary response variables. For the standard normal distribution (often denoted N(0,1)), the CDF is commonly denoted Φ(z). Φ(z) is a continuous, monotone increasing sigmoid function whose domain is the real line and range is (0,1). As an example, consider the familiar fact that the N(0,1) distribution places 95% of probability between -1.96 and 1.96, and is symmetric around zero. It follows that

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the probit function is the inverse cumulative distribution function (CDF), or quantile function associated with the standard normal distribution. It has applications in exploratory statistical graphics and specialized regression modeling of binary response variables. For the standard normal distribution (often denoted N(0,1)), the CDF is commonly denoted Φ(z). Φ(z) is a continuous, monotone increasing sigmoid function whose domain is the real line and range is (0,1). As an example, consider the familiar fact that the N(0,1) distribution places 95% of probability between -1.96 and 1.96, and is symmetric around zero. It follows that

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Weitere beliebte Ausgaben desselben Titels

9786130343132: Probit: Probit, Probability Space, Probability Density Function, Probability Theory, Random Variable, Function Mathematics, Integral, Probability Distribution, Cumulative Distribution

Vorgestellte Ausgabe

ISBN 10:  6130343132 ISBN 13:  9786130343132
Verlag: Betascript Publishers, 2010
Softcover