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八度:“'ncx2cdf'未定义”错误

[英]Octave: “'ncx2cdf' undefined” error

我正在尝试从八度运行M文件,但出现此错误:

Octave evaluation error: 'ncx2cdf' undefined     

Apparently the non-central chi-square distribution is simply defined as 1 minus the Marcum Q function . 显然,非中心卡方分布简单定义为1减去Marcum Q函数 The signal package at octave-forge provides an implementation for this function (seemingly compatible with matlab). 八度伪造的信号包提供此功能的实现 (似乎与matlab兼容)。

Therefore you could presumably write your own ncx2cdf function simply as follows: 因此,您大概可以简单地编写自己的ncx2cdf函数,如下所示:

function Out = myncx2cdf (X, V, Delta)
  Out = 1 - marcumq (sqrt (Delta), sqrt (X), V/2);
end

Confirmed in matlab: 在matlab中确认:

>> X = randi(100, [1,20]); V = 4; Delta = 10;
>> ncx2cdf(X, V, Delta)                          
ans =
    1.0000    0.9410    0.9999    1.0000    1.0000    1.0000    1.0000    0.5549    0.6093    0.9410    1.0000    0.9410    1.0000    0.9279    1.0000    0.9920    0.8183    0.9410    1.0000    0.9997
>> 1 - marcumq(sqrt(Delta), sqrt(X), V/2)
ans =
    1.0000    0.9410    0.9999    1.0000    1.0000    1.0000    1.0000    0.5549    0.6093    0.9410    1.0000    0.9410    1.0000    0.9279    1.0000    0.9920    0.8183    0.9410    1.0000    0.9997

Octave session for the same X, V, and Delta: 相同的X,V和Delta的八度会话:

octave:34> pkg load signal
octave:35> 1 - marcumq(sqrt(Delta), sqrt(X), V/2)
ans =
   1.00000   0.94105   0.99988   1.00000   1.00000   1.00000   0.99996   0.55492   0.60929   0.94105   1.00000   0.94105   1.00000   0.92793   1.00000   0.99203   0.81831   0.94105   1.00000   0.99972

Note that the degrees of freedom parameter V is restricted to even values with this implementation; 注意,在该实施方式中,自由度参数V限制为偶数; if you'd like to use odd degrees of freedom too, eg 5, this could be interpolated from the result for V=4 and V=6 (this seems to work well in practice). 如果您也想使用奇数自由度,例如5,则可以从V = 4和V = 6的结果中进行插值(这在实践中似乎效果很好)。

here is a easy implementation of non-central chi square distribution: 这是非中心卡方分布的简单实现:

function f = ncx2pdf(x, n, lambda, term = 32)
  f = exp(-lambda/2) * arrayfun(@(x) sum_expression([0:term],x,n,lambda), x);
  function t = sum_expression(j,v,n,l)
    # j is vector, v is scalar.
    numerator = (l/2).^j .* v.^(n/2+j-1) * exp(-v/2);
    denominator = factorial(j) .* 2.^(n/2+j) .* gamma(n/2+j);
    t = sum(numerator ./ denominator);
  end
end

here is the function file , put it in your octave path. 这是函数文件 ,放在您的八度音程中。

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