JarqueBeraALMTest (Built-in Mathematica Symbol)

JarqueBeraALMTest[data] tests whether data is normally distributed using the Jarque\[Dash]Bera ALM test.JarqueBeraALMTest[data, " property"] returns the value of " property".

JohnsonDistribution (Built-in Mathematica Symbol)

JohnsonDistribution["SB", \[Gamma], \[Delta], \[Mu], \[Sigma]] represents a bounded Johnson distribution with shape parameters \[Gamma], \[Delta], location parameter \[Mu], ...

JoinedCurve (Built-in Mathematica Symbol)

JoinedCurve[{segment_1, segment_2, ...}] represents a curve consisting of segment_1 followed by segment_2 etc. JoinedCurve[{component_1, component_2, ...}] represents a list ...

Joined (Built-in Mathematica Symbol)

Joined is an option for ListPlot and related functions that specifies whether points in each dataset should be joined into a line, or should be plotted as separate points.

JoinForm (Built-in Mathematica Symbol)

JoinForm[type] is a graphics directive that specifies what type of joins should be used to connect segments of lines, tubes, edges, and related primitives.

Join (Built-in Mathematica Symbol)

Join[list_1, list_2, ...] concatenates lists or other expressions that share the same head.Join[list_1, list_2, ..., n] joins the objects at level n in each of the list_i.

JordanDecomposition (Built-in Mathematica Symbol)

JordanDecomposition[m] yields the Jordan decomposition of a square matrix m. The result is a list {s, j} where s is a similarity matrix and j is the Jordan canonical form of ...

JordanModelDecomposition (Built-in Mathematica Symbol)

JordanModelDecomposition[ss] yields the Jordan decomposition of a StateSpaceModel object ss. The result is a list {s, jc} where s is a similarity matrix and jc is the Jordan ...

KagiChart (Built-in Mathematica Symbol)

KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...

KalmanEstimator (Built-in Mathematica Symbol)

KalmanEstimator[ss, {w, v}] constructs the Kalman estimator for the StateSpaceModel object ss with process and measurement noise covariance matrices w and v. ...