Lines Matching refs:mean
88 RealType mean()const in mean() function in boost::math::inverse_gaussian_distribution
139 RealType mean = dist.mean(); in pdf() local
146 if(false == detail::check_location(function, mean, &result, Policy())) in pdf()
150 if(false == detail::check_x_gt0(function, mean, &result, Policy())) in pdf()
166 * exp(-scale * (x - mean) * (x - mean) / (2 * x * mean * mean)); in pdf()
176 RealType mean = dist.mean(); in cdf() local
183 if(false == detail::check_location(function, mean, &result, Policy())) in cdf()
187 if (false == detail::check_x_gt0(function, mean, &result, Policy())) in cdf()
209 n0 *= ((x / mean) -1); in cdf()
211 RealType expfactor = exp(2 * scale / mean); in cdf()
213 n3 *= (x / mean) + 1; in cdf()
325 RealType mean = dist.mean(); in quantile() local
332 if(false == detail::check_location(function, mean, &result, Policy())) in quantile()
334 if (false == detail::check_x_gt0(function, mean, &result, Policy())) in quantile()
349 RealType guess = detail::guess_ig(p, dist.mean(), dist.scale()); in quantile()
371 RealType mean = c.dist.mean(); in cdf() local
392 if(false == detail::check_location(function, mean, &result, Policy())) in cdf()
394 if (false == detail::check_x_gt0(function, mean, &result, Policy())) in cdf()
401 n0 *= ((x / mean) -1); in cdf()
404 RealType expfactor = exp(2 * scale / mean); in cdf()
406 n3 *= (x / mean) + 1; in cdf()
409 RealType n6 = cdf(complement(n01, +sqrt(scale/x) * ((x /mean) + 1))); in cdf()
421 RealType mean = c.dist.mean(); in quantile() local
426 if(false == detail::check_location(function, mean, &result, Policy())) in quantile()
428 if (false == detail::check_x_gt0(function, mean, &result, Policy())) in quantile()
434 RealType guess = detail::guess_ig(q, mean, scale); in quantile()
451 inline RealType mean(const inverse_gaussian_distribution<RealType, Policy>& dist) in mean() function
453 return dist.mean(); in mean()
473 RealType mean = dist.mean(); in standard_deviation() local
474 RealType result = sqrt(mean * mean * mean / scale); in standard_deviation()
483 RealType mean = dist.mean(); in mode() local
484 RealType result = mean * (sqrt(1 + (9 * mean * mean)/(4 * scale * scale)) in mode()
485 - 3 * mean / (2 * scale)); in mode()
494 RealType mean = dist.mean(); in skewness() local
495 RealType result = 3 * sqrt(mean/scale); in skewness()
503 RealType mean = dist.mean(); in kurtosis() local
504 RealType result = 15 * mean / scale -3; in kurtosis()
512 RealType mean = dist.mean(); in kurtosis_excess() local
513 RealType result = 15 * mean / scale; in kurtosis_excess()