Lingo14-0概率分布函数.docx

LINGO累积概率分布及概率密度函数连续分布函数说明参数与定义域@PBETACDF( A, B, X)Beta累积分布函数A = alpha 0 B = beta 0 X ∈ (0,1)@PBETAINV( A, B, X)Beta逆函数A = alpha 0 B = beta 0 X ∈ [0,1]@PBETAPDF( A, B, X)Beta概率密度函数A = alpha 0 B = beta 0 X ∈ (0,1)@PCACYCDF( L, C, X)累积柯西函数L = location S = scale 0 X a real@PCACYINV( L, S, X)柯西逆函数L = location S = scale 0 X ∈ [0,1]@PCACYPDF( L, S, X)柯西概率密度函数L = location S = scale 0 X a real@PCHISCDF( DF, X)累计卡方分布函数DF=自由度=正整数 X ≥ 0@PCHISINV( DF, X)卡方逆函数DF=自由度=正整数 X ∈ [0,1]@PCHISPDF( DF, X)卡方概率密度函数DF=自由度=正整数 X ≥ 0@PEXPOCDF( L, X)累积指数分布函数L = lambda 0 X ≥ 0@PEXPOINV( L, X)指数分布逆函数L = lambda 0 X ∈ [0,1]@PEXPOPDF( L, X)指数分布概率密度函数L = lambda 0 X ≥ 0@PFDSTCDF( DF1, DF2, X)累积F分布函数DF1,DF2 =自由度=正整数X ≥ 0@PFDSTINV( DF1, DF2, X)F分布逆函数DF1,DF2=自由度=正整数 X ∈ [0,1]@PFDSTPDF( DF1, DF2, X)F分布概率密度函数DF1,DF2 = degrees of freedom = a positive integer X ≥ 0@PGAMMCDF( SC, SH, X)累积Gamma分布函数SC = scale 0 SH = shape 0 X ≥ 0@PGAMMINV( SC, SH, X)Gamma分布逆函数SC = scale 0 SH = shape 0 X ∈ [0,1]@PGAMMPDF( SC, SH, X)Gamma概率密度函数SC = scale 0 SH = shape 0 X ≥ 0@PGMBLCDF( L, S, X)累积狄贝尔分布函数L = location S = scale 0 X a real@PGMBLINV( L, S, X)狄贝尔分布逆函数L = location S = scale 0 X ∈ [0,1]@PGMBLPDF( L, S, X)狄贝尔概率密度函数L = location S = scale 0 X a real@PLAPLCDF( L, S, X)累积拉普拉斯分布函数L = location S = scale 0 X a real@PLAPLINV( L, S, X)拉普拉斯分布逆函数L = location S = scale 0 X ∈ [0,1]@PLAPLPDF( L, S, X)拉普拉斯概率密度函数L = location S = scale 0 X a real@PLGSTCDF( L, S, X)累积Logistic分布函数L = location S = scale 0 X a real@PLGSTINV( L, S, X)Logistic分布逆函数L = location S = scale 0 X ∈ [0,1]@PLGSTPDF( L, S, X)Logistic概率密度函数L = location S = scale 0 X a real@PLOGNCDF( M, S, X)累积对数正态分布函数M = mu S = sigma 0 X 0@PLOGNINV( M, S, X)累积正态分布逆函数M = mu S = sigma 0 X ∈ [0,1]@PLOGNPDF( M, S, X)累积正态分布概率密度函数M = mu S = sigma 0 X 0@PNORMCDF( M, S, X)累积正态分布函数M = mu S = sigma 0 X a real@PNORMINV( M, S, X)正态分布逆函数