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Timestamp:
Feb 6, 2017, 2:37:33 AM (6 years ago)
Author:
Peter
Message:

refs #867 and #882. Interface for Negative Binomiual and Poisson regression

File:
1 edited

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  • trunk/yat/regression/MultiDimensional.h

    r3611 r3614  
    55
    66/*
    7   Copyright (C) 2005, 2006, 2007, 2008 Jari Häkkinen, Peter Johansson
    87  Copyright (C) 2009 Peter Johansson
    98
     
    2423*/
    2524
     25#include "Multivariate.h"
     26
    2627#include "yat/utility/Matrix.h"
    2728#include "yat/utility/Vector.h"
     
    3334namespace regression {
    3435
    35   ///
    36   /// @brief MultiDimesional fitting.
    37   ///
    38   class MultiDimensional
     36  /**
     37     \brief Linear MultiDimesional regression
     38  */
     39  class MultiDimensional : public Multivariate
    3940  {
    4041  public:
     
    5354       \brief covariance of parameters
    5455
    55        The covariance of fit parameters are calculated as \f$ \sigma^2
    56        (X'X)^{-1} \f$ where \f$ \sigma^2 \f$ is the variance of the of
    57        the error terms.
     56       The covariance of fit parameters is calculated as \f$ \sigma^2
     57       (X'X)^{-1} \f$ where \f$ \sigma^2\f$ is the variance of error
     58       residuals.
    5859    */
    5960    const utility::Matrix& covariance(void) const;
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