# log_normal_truncated_ab

log_normal_truncated_ab, a Python code which can evaluate quantities associated with the log normal Probability Density Function (PDF) truncated to the interval [A,B].

### Languages:

log_normal_truncated_ab is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.

### Related Data and Programs:

log_normal, a Python code which samples the log normal distribution.

normal, a python code which samples the normal distribution.

pdflib, a python code which evaluates probability density functions (pdf's) and produces random samples from them, including beta, binomial, chi, exponential, gamma, inverse chi, inverse gamma, multinomial, normal, scaled inverse chi, and uniform.

prob, a python code which evaluates, samples, inverts, and characterizes a number of probability density functions (pdf's) and cumulative density functions (cdf's), including anglit, arcsin, benford, birthday, bernoulli, beta_binomial, beta, binomial, bradford, burr, cardiod, cauchy, chi, chi squared, circular, cosine, deranged, dipole, dirichlet mixture, discrete, empirical, english sentence and word length, error, exponential, extreme values, f, fisk, folded normal, frechet, gamma, generalized logistic, geometric, gompertz, gumbel, half normal, hypergeometric, inverse gaussian, laplace, levy, logistic, log normal, log series, log uniform, lorentz, maxwell, multinomial, nakagami, negative binomial, normal, pareto, planck, poisson, power, quasigeometric, rayleigh, reciprocal, runs, sech, semicircular, student t, triangle, uniform, von mises, weibull, zipf.

truncated_normal, a python code which works with the truncated normal distribution over [a,b], or [a,+oo) or (-oo,b], returning the probability density function (pdf), the cumulative density function (cdf), the inverse cdf, the mean, the variance, and sample values.

uniform, a python code which samples the uniform distribution.

### Reference:

Paul Soederlind,
Lecture Notes - Econometrics: Some Statistics,
8 July 2013.

### Source Code:

Last revised on 27 January 2020.