Package jline.api.infer

package jline.api.infer

Related Packages

Package	Description
jline.api	Procedural algorithms for solving stochastic models and analyzing queueing systems.

Class	Description
InferLqn	LQN parameter identification via an Extended Kalman Filter.
InferLqn.JacobianResult	Finite-difference sensitivity matrix H = dh/da together with h0 = h(a).
InferLqnOptions	Options for LQN parameter identification via the Extended Kalman Filter (InferLqn).
InferLqnOptions.ObservationSolver	Observation model: solve the LQN and return its per-element average table.
InferLqnResult	Result of an LQN parameter identification run (InferLqn).
InferNhppKs	Kolmogorov-Smirnov tests for a non-homogeneous Poisson arrival process.
InferQuickModel	Convenience factory for the single-layer networks the inference estimators fit.
InferSmp	Maximum-likelihood fit of a fully parametric semi-Markov multi-state model to right-censored sojourn data, under either of the two parameterizations of Asanjarani, Liquet and Nazarathy.
InferSmp.Arc	One fitted transition.
InferSmp.Fit	A fit.
InferSmp.Hazard	Both hazard functions of one transition, on the instants of InferSmp.infer_smp_hazard(jline.api.infer.InferSmp.Fit, double[], double[]).
InferSmp.NelsonAalen	Nelson-Aalen estimate of one transition's cumulative intensity.
InferSmp.Options	Options of InferSmp.infer_smp(int[], int[], double[]).
InferSmpFamily	The parametric families InferSmp fits, in one place so that the estimator, the hazard conversions and the Environment builder read one parameterization.
ObsSpec	Specification of an observed LQN performance metric.
ObsSpec.Metric	Kind of performance metric observed.
ParamSpec	Specification of a hidden LQN parameter to identify.
ParamSpec.Type	Kind of parameter being estimated.