Bayesian
Conditional distribution, here
Distribution, here
Combinatorial generators, here
Comparison of distribution test
Smirnov, here
Composed Distribution, here, here
Copula
AliMikhailHaq, here
Clayton, here
Composed copula, here
Estimation from a sample, here
Estimation from sample, here
FarlieGumbelMorgenstern, here
Frank, here
Min, here
Model Validation, here
Sklar, here
Correlation
Correlation matrix of the Normal copula, here, here
Partial Pearson correlation coefficient (PCC), here
Partial rank correlation coefficient (PRCC), here
Spearman rank correlation matrix, here, here
Standard rank regression coefficient (SRRC), here
Standard regression coefficient (SRC), here
CSV file, here
Design of Experiments
Box scheme, here
Combinations generator , here
Composite scheme, here
Drawing, here
Factorial scheme, here
Fixed design of experiments , here
Kpermutations generator , here
LHS design of experiments , here
Mixed deterministic / random design of experiments , here
Monte Carlo design of experiments , here
Scaling, here
Scaling scheme, here
Translation, here
Translation scheme, here
Tuples generator , here
Distribution
Bayesian, here
Conditional distribution, here
Kernel mixture, here
Marginals and copula, here
Random Mixture, here
Event
Physical space, here
Fitting Distribution
Kernel smoothing, here
Maximum likelihood, here
Fitting Test
Anderson Darling, here
Cramer Von Mises, here
Kendallplot, here
Graph
Graph Manipulation
Bounding box, here, here, here, here, here, here
Show, here, here, here, here, here, here, here, here, here
View, here, here, here, here, here, here, here, here, here, here
Clouds of points, here
Empirical cumulative density function, here, here, here
FORM/SORM importance factors, here
Hasofer reliability index sensitivity, here
Pairs graph, here
PDFCDF curves, here, here, here
PDFCDF isocurves, here
QQplot, here, here, here, here, here, here
Regression linear model, here
Residual Regression linear model, here
Specifying the file format, here
Superposition empirical  kernel smoothed CDF, here
Superposition of graphs, here
Superposition two points clouds, here
Taylor variance decomposition importance factors, here, here
Independence Test
Limit State Function
Agregated funtion, here
Analytical formula declared in line, here
Dynamical Function, here
ExpertMixture, here
Function declarde in the script python, here
Linear combination, here
Reducing the initial limit state function, here
Low Discrepancy Sequences, here
MinMax
, here
Optimization, here
Mixture, here
Numerical Math Function Manipulation
Dimension, here
Evaluation, here
Graph, here
History, here
Marginal, here
Optimization
AbdoRacwitz, here
Cobyla, here
SQP, here
TNC, here
Quantile
Distribution evaluation, here
Empirical estimation, here, here
Wilks estimation, here
Random Generator, here, here, here, here
Random Vector
Extracting a sub vector, here
Input random vector, here
Output random vector, here, here, here, here, here
Ranking test
BIC, here
Regression Linear Model
Adjusted R 2 test, here
Cloud sample  Line graph, here
Factory, here
Fisher test, here
Residual graph, here
Residual test, here
Response Surface
Kriging, here
Linear least squares approximation, here, here, here
Linear Taylor approximation, here
Polynomial chaos, here
Polynomial chaos expansion, here
Quadratic Taylor approximation, here
Sample Statistics
Cholesky factor, here
Covariance, here
Empirical quantile, here
Kendall's tau, here
Kurtosis, here
Min  Max, here
Moments evaluation, here, here
Pearson correlation coefficient, here, here
Rank  Sort functionnalities, here
Sample Generation, here
Skewness, here
Spearman correlation coefficient, here, here
Sensitivity
Sensitivity Analysis
Cobweb graph, here
FORM probability, here
Hasofer reliability index, here
MinMax, here
ANCOVA indices, here
FAST indices, here
Sobol indices, here
Stochastic Process
ARMA, here, here, here, here, here
Basics, here
Box Cox, here
Composite Process, here
Covariance Function, here
Covariance Model, here, here, here
Dickey Fuller, here
Event based on a process, here
Field, here
Functional Basis Process, here
Mesh, here
Monte Carlo based on process, here
Normal Process, here
Process Manipulation, here
Process Sample, here
Random Walk, here
Second Order Model, here
Spectral Density Function, here
Stationary Covariance Function, here
Time Grid, here
Time Series, here
Trend computation, here
White Noise, here
Study
Load, here
Save, here
Taylor variance decomposition , here
Threshold Probability
Directional sampling, here
FORM, here
History storage strategy, here, here
Importance sampling, here
LHS, here
Monte Carlo, here
Post analytical controlled importance sampling, here
Post analytical importance sampling, here
Quasi Monte Carlo, here
SORM, here
SORM Breitung, Tvedt, Hohenbichler, here
Strong Max Test, here
Usual Distribution
Usual distribution
Arcsine, here
Bernoulli, here
Beta, here
Binomial, here
Burr, here
Chi, here
ChiSquare, here
Dirac, here
Dirichlet, here
Epanechnikov, here
Exponential, here
FisherSnedecor, here
Gamma, here
GeneralizedPareto, here
Geometric, here
InverseChiSquare, here
InverseGamma, here
InverseNormal, here
InverseWishart, here
Laplace, here
Logistic, here
LogNormal, here
LogUniform, here
Multinomial, here
Negative Binomial, here
Non Central Chi Square, here
Non Central Student, here
NormalGamma, here
Poisson, here
Rayleigh, here
Rice, here
Student, here
Trapezoidal, here
Triangular, here
Truncated distribution, here
TruncatedNormal, here
Uniform, here
User defined, here
Weibull, here
Wishart, here
ZipfMandelbrot, here
View Image, here
Wilks, here
How to save and load a study ?

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