代码搜索：time-series
找到约 167 项符合「time-series」的源代码
代码结果 167
www.eeworm.com/read/449504/7502553
m contents.m
% Utility function library -- Jim LeSage
%
%
% accumulate : accumulates column elements of a matrix x
% blockdiag : Construct a block-diagonal matrix with the inputs on the diagonals.
www.eeworm.com/read/449504/7502244
m contents.m
% Graphing function library -- Jim LeSage
%
%
% histo : Plot a histogram
% make_html : makes HTML verion of contents.m files for the Econometrics Toolbox
% pairs : Pair
www.eeworm.com/read/449504/7502605
html contents.html
Utility functions library
[Return to Master Index]
-------- utility functions --------
www.eeworm.com/read/126884/6010860
java waveform.java
package org.trinet.jasi;
import java.lang.*;
import java.io.File;
import java.util.*;
import java.sql.Connection;
import org.trinet.jdbc.datatypes.*;
import org.trinet.util.*;
import org.
www.eeworm.com/read/449504/7503095
m detrend.m
function resid = detrend(y,p)
% PURPOSE: detrend a matrix y of time-series using regression
% of y against a polynomial time trend of order p
% ----------------------------------------------
www.eeworm.com/read/449504/7503118
m adf.m
function results = adf(x,p,l)
% PURPOSE: carry out DF tests on a time-series vector
%---------------------------------------------------
% USAGE: results = adf(x,p,nlag)
% where: x = a time-seri
www.eeworm.com/read/190459/8443056
m windowize.m
function w = windowize(A,window_array)
% Re-arrange the data points into a Hankel matrix for (N)AR time-series modeling
%
% >> w = windowize(A, window)
%
% Use windowize function to make a nonlinear
www.eeworm.com/read/429504/8804774
m windowize.m
function w = windowize(A,window_array)
% Re-arrange the data points into a Hankel matrix for (N)AR time-series modeling
%
% >> w = windowize(A, window)
%
% Use windowize function to make a nonlinear
www.eeworm.com/read/428451/8867208
m windowize.m
function w = windowize(A,window_array)
% Re-arrange the data points into a Hankel matrix for (N)AR time-series modeling
%
% >> w = windowize(A, window)
%
% Use windowize function to make a nonlinear
www.eeworm.com/read/427586/8931976
m windowize.m
function w = windowize(A,window_array)
% Re-arrange the data points into a Hankel matrix for (N)AR time-series modeling
%
% >> w = windowize(A, window)
%
% Use windowize function to make a nonlinear