Variance-stabilizing transformation: Difference between revisions
en>Helpful Pixie Bot m ISBNs (Build KE) |
No edit summary |
||
Line 1: | Line 1: | ||
{{Infobox Software | | |||
name = NumXL| | |||
logo = [[File:NumXLlogo.png|100px | NumXL logo]]| | |||
screenshot = [[File:Correlogram Analysis in Excel.png|thumb|Correlogram Analysis in Excel]] [[File:Time series forecast using AirLine model.png|thumb|Time series forecast in Excel Using NumXL]]| | |||
caption = | | |||
developer = Spider Financial Corp | | |||
programming language = [[C++ (programming language)|C/C++]] | | |||
released = April 15, 2009 | | |||
latest_release_version = 1.61.41462.1 | | |||
latest_release_date = {{release date and age|2013|07|07}}| | |||
operating_system = [[Microsoft Windows|Windows]] | | |||
status = Active | | |||
genre = [[econometrics software]] | | |||
license = [[Proprietary software|proprietary]] | | |||
website = [http://www.spiderfinancial.com/ www.spiderfinancial.com] | | |||
tutorials = [http://www.youtube.com/spiderfinancial/ YouTube videos] | | |||
}} | |||
'''NumXL''' (Numerical Analysis for Excel) is an econometrics/time series analysis add-in for [[Microsoft Excel]]. Developed by Spider Financial, NumXL provides a wide variety of statistical and time series analysis techniques, including linear and nonlinear time series modeling, statistical tests and others. <br/> | |||
The | Although NumXL is intended as an analytical add-in for Excel, it extends Excel’s user-interface and offers numerous wizards, menus and toolbars to automate the mundane phases of time series analysis. The features include summary statistics, test of hypothesis, correlogram analysis, modeling, calibration, residuals diagnosis, back-testing and forecast.<br/> | ||
NumXL users come from various backgrounds of finance, economics, engineering and science. NumXL is used in academic and research institutions as well as industrial enterprises. | |||
== NumXL User's Interface == | |||
NumXL comes with an elaborate user-interface (i.e. menu and toolbar) and interactive wizards to improve the general usability of the software. The NumXL UI components automate some steps in time series analysis and modeling. | |||
Using the UI components and the wizards, the user can specify the time series of interest, fine-tune the desired analysis options and designate the location on his/her worksheet for the output. NumXL generates the corresponding analysis blocks (with underlying formulas) in the designated location | |||
== Function Categories == | |||
NumXL Functions are organized into eleven(11) categories: | |||
===Descriptive Statistics=== | |||
* [[Autocorrelation|Autocorrelation function(ACF)]] and [[Partial autocorrelation function| Partial autocorrelation function (PACF)]]. | |||
* [[Cross-correlation|Cross-correlation functions]] - XCF and EWXCF | |||
* MD, RMD, MAD | |||
* Statistical Functions - Calculate the [[excess kurtosis]] of the standardized [[Exponential power distribution|GED]] and [[Student t distribution|Student's t-dist]]. | |||
* Empirical distribution functions: Histogram, EDF and KDE | |||
===Statistical Testing=== | |||
* Hypothesis Test for population mean, for standard deviation, for [[skewness]] and for [[excess kurtosis]]. | |||
* [[Normality test]] using [[Jarque–Bera test]], [[Shapiro–Wilk test]], and Chi-square test methods. | |||
* White-noise test - Serial correlation tests ([[Portmanteau test|Portmanteau Test]], [[Ljung-Box test]] and modified Q-test). | |||
* [[Autoregressive conditional heteroskedasticity|Autoregressive Conditional Heteroskedasticity (ARCH)]] effect test. | |||
* [[Augmented Dickey–Fuller test|Augmented Dickey-Fuller (ADF) unit-root test]]. | |||
* [[Multicollinearity| Multicollinearity test]]. | |||
* [[Chow_test| Regression Stability Test (Chow test)]]. | |||
===Transform=== | |||
* [[Power transform|Box-Cox and inverse Box-Cox transform]]. | |||
* [[Logit]], [[Probit]] and complementary log log link functions and its inverse. | |||
* [[Lag operator|LAG or Backshift operator]], | |||
* [[Lag_operator#Difference_operator|Seasonal difference operator]] | |||
* [[Integral operator|Time Series Integral operator]] | |||
* Add, Subtract, scale, and chronological order reverse functions. | |||
* Remove missing values from a time series. | |||
===Smoothing=== | |||
*[[Weighted_moving_average#Weighted_moving_average|WMA]] | |||
* [[Exponential smoothing| Exponential smoothing functions: Brown's simple exponential, Holt-Winters double exponential, Brown's linear exponential, and Winters triple exponential smoothing functions]]. | |||
* Time Series Trend - Linear, polynomial, logarithmic, exponential, and power | |||
===Spectral Analysis=== | |||
* [[Discrete Fourier transform|Discrete Fourier Transform and inverse]]. | |||
* [[Hodrick–Prescott_filter|Hodrick Prescott filter]]. | |||
===Date and Calendar=== | |||
* Weekday and workdays calculations | |||
* International weekend support | |||
* 11 international Holidays support. | |||
===ARMA Modeling=== | |||
* [[Autoregressive moving average model|Autoregressive Moving Average (ARMA) model]] | |||
* AirLine Model | |||
* [[X-12-ARIMA]] | |||
* [[Goodness of fit]] - [[Likelihood function|LLF]], [[Akaike information criterion|AICc]] and model's diagnosis. | |||
* Forecast and back-testing | |||
===ARCH/GARCH Analysis=== | |||
* Basic Operators - EWMA/EWV | |||
* [[GARCH#GARCH|GARCH Model]]. | |||
* [[Autoregressive_conditional_heteroskedasticity#EGARCH|Exponential GARCH (E-GARCH) Model]]. | |||
* [[Autoregressive_conditional_heteroskedasticity#GARCH-M|GARCH in the mean (GARCH-M) Model]]. | |||
* Support for [[Gaussian distribution|Gaussian]], [[Student t distribution|Student's t]] and [[Exponential power distribution|GED]] distributed innovations/shocks. | |||
* [[Goodness of fit]] - [[Likelihood function|LLF]], [[Akaike information criterion|AICc]] and model's diagnosis | |||
===Factor Analysis=== | |||
* [[Simple_linear_regression|Simple Linear Regression (SLR)]] | |||
* [[Multiple_linear_regression|Multiple Linear Regression (MLR)]] | |||
* [[Principal_component|Principal Component Analysis (PCA) and Principal component regression]] | |||
* [[Stepwise regression]] | |||
* [[Generalized linear model|Generalized Linear Model (GLM)]] | |||
* Support for the following Canonical link Functions: | |||
{| class="wikitable" style="background:white;" | |||
! Distribution !! Name !! Link Function | |||
|- | |||
| [[normal distribution|Normal]] || Identity || <math>\mathbf{X}\boldsymbol{\beta}=\mu\,\!</math> | |||
|- | |||
| [[Poisson distribution|Poisson]] || [[Natural logarithm|Log]] || <math>\mathbf{X}\boldsymbol{\beta}=\ln{\left(\frac{\mu}{1-\mu}\right)}\,\!</math> | |||
|- | |||
| [[binomial distribution|Binomial]] || [[Logit]] ||<math>\mathbf{X}\boldsymbol{\beta}=\ln{\left(\frac{\mu}{1-\mu}\right)}\,\!</math> | |||
|- | |||
| [[binomial distribution|Binomial]] || [[Probit]] || <math>\mathbf{X}\boldsymbol{\beta}=\Phi^{-1}{\left(\mu\right)}\,\!</math> | |||
|- | |||
| [[binomial distribution|Binomial]] || Complementary log-log || <math>\mathbf{X}\boldsymbol{\beta}=\ln{\left(-\ln{\left(1-\mu\right)}\right)}\,\!</math> | |||
|} | |||
* Support for Goodness of fit: [[Likelihood function|LLF]], [[Akaike information criterion|AIC]], [[R-squared|Adjusted R-Squared]], [[Bayesian information criterion|BIC/SIC]] and [[Deviance (statistics)|Deviance]] | |||
* Residual diagnosis. | |||
===Advanced (Combo) Models=== | |||
* Model Definition Function. | |||
* Mixed Model - [[likelihood function]]. | |||
* [[Goodness of fit]] - [[Likelihood function|LLF]], [[Akaike information criterion|AICc]], and model's diagnosis. | |||
===Utilities=== | |||
* [[Interpolation]] Functions - Flat forward/backward, linear, and cubic spline interpolation. | |||
==Compatibility with Microsoft Excel== | |||
NumXL's statistical analysis software is compatible with all Excel versions from version 97 to version 2013 (aka Office 365), and is compatible with the Windows 9x till Windows 8 (32 and 64-bit) systems. | |||
== Release history == | |||
{| class="wikitable" | |||
|- | |||
! Version<ref name="growth">{{cite web | url = http://support.numxl.com/forums/21692403-Release-notes | title = NumXL Release Notes | author = NumXL Team}}</ref>!! Release !! Year !! Release Date !! Notes | |||
|- | |||
| NumXL 1.0 | |||
| rowspan=4 | 1.0 | |||
| 2009 | |||
| October 1, 2009 | |||
| Official release | |||
|- | |||
| NumXL 1.0 | |||
| rowspan=3|2010 | |||
| January 5, 2010 | |||
| Maintenance Release I | |||
|- | |||
| NumXL 1.0 | |||
| January 26, 2010 | |||
| Maintenance Release II | |||
|- | |||
| NumXL 1.0 | |||
| September 2, 2010 | |||
| Maintenance Release III | |||
|- | |||
| NumXL 1.5 | |||
| 1.5 | |||
| rowspan=3|2011 | |||
| June 13, 2011 | |||
| New version | |||
|- | |||
| NumXL 1.51 | |||
| rowspan=6 | ORB | |||
| September 23, 2011 | |||
| Maintenance release. | |||
|- | |||
| NumXL 1.51.40905.1 | |||
| December 28, 2011 | |||
| Maintenance release I | |||
|- | |||
| NumXL 1.51.40927.3 | |||
| rowspan=12|2012 | |||
| January 19, 2012 | |||
| Maintenance release II | |||
|- | |||
| NumXL 1.52.40934.5 | |||
| January 26, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.52.41002.5 | |||
| April 3, 2012 | |||
| Maintenance release I | |||
|- | |||
| NumXL 1.52.41018.1 | |||
| April 19, 2012 | |||
| Maintenance release II | |||
|- | |||
| NumXL 1.53.41023.1 | |||
| rowspan=2 | SAC | |||
| April 25, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.53.41025.1 | |||
| April 26, 2012 | |||
| Maintenance release I | |||
|- | |||
| NumXL 1.54.41030.2 | |||
| RED | |||
| May 2, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.55.41040.2 | |||
| LYNX | |||
| May 11, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.56.41060.2 | |||
| ZEBRA | |||
| May 31, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.57.41168.2 | |||
| SINGA | |||
| September 17, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.58.41197.1 | |||
| BAJA | |||
| October 16, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.59.41245.1 | |||
| rowspan=11 | TUCSON | |||
| December 3, 2012 | |||
| New version | |||
|- | |||
| NumXL 1.59.41288.1 | |||
| rowspan=15 | 2013 | |||
| January 14, 2013 | |||
| Maintenance Release I | |||
|- | |||
| NumXL 1.59.41295.1 | |||
| January 21, 2013 | |||
| Maintenance Release II | |||
|- | |||
| NumXL 1.59.41304.1 | |||
| January 30, 2013 | |||
| Maintenance Release III | |||
|- | |||
| NumXL 1.59.41325.1 | |||
| February 19, 2013 | |||
| Maintenance Release VI | |||
|- | |||
| NumXL 1.59.41339.1 | |||
| March 6, 2013 | |||
| Maintenance Release VII | |||
|- | |||
| NumXL 1.59.41341.1 | |||
| March 8, 2013 | |||
| Maintenance Release VIII | |||
|- | |||
| NumXL 1.59.41346.1 | |||
| March 13, 2013 | |||
| Maintenance Release IX | |||
|- | |||
| NumXL 1.59.41366.1 | |||
| April 2, 2013 | |||
| Maintenance Release X | |||
|- | |||
| NumXL 1.59.41372.1 | |||
| April 8, 2013 | |||
| Maintenance Release XI | |||
|- | |||
| NumXL 1.59.41374.1 | |||
| April 11, 2013 | |||
| Maintenance Release XII | |||
|- | |||
| NumXL 1.60.41413.1 | |||
| rowspan=3 | APACHE | |||
| May 20, 2013 | |||
| New version | |||
|- | |||
| NumXL 1.60.41415.1 | |||
| May 21, 2013 | |||
| Update 1 | |||
|- | |||
| NumXL 1.60.41418.1 | |||
| May 24, 2013 | |||
| Update 2 | |||
|- | |||
| NumXL 1.61.41445.1 | |||
| rowspan=2 | BOLAS | |||
| June 20, 2013 | |||
| New version | |||
|- | |||
| NumXL 1.61.41462.1 | |||
| July 7, 2013 | |||
| Update 1 | |||
|} | |||
==See also== | |||
*[[EViews]]—A statistical package for Windows | |||
*[[gretl]]—an open source alternative to EViews | |||
*[[Rcmdr]]—an open source R-based alternative to SPSS | |||
*[[OxMetrics]]—an alternative econometrics package | |||
*[[Regression Analysis of Time Series|RATS]] | |||
*[[Comparison of statistical packages]] | |||
*[[AREMOS]] | |||
==References== | |||
{{Reflist}} | |||
==External links== | |||
*[http://www.spiderxl.com/products/numxl NumXL Home page] | |||
*[http://support.numxl.com/forums/21627562-getting-started-guide NumXL Getting Started] | |||
*[http://www.spiderfinancial.com/tips-demos NumXL Weekly Tips and Hints] | |||
*[http://support.numxl.com/forums/21692403-release-notes NumXL Release notes] | |||
*[http://support.numxl.com/categories/20078371-tutorial-videos NumXL Tutorial Videos] | |||
*[http://support.numxl.com/categories/20083076-Community NumXL Community] | |||
*[http://www.facebook.com/spiderfinancial NumXL Facebook] | |||
*[http://www.twitter.com/spiderfinancial NumXL Twitter] | |||
{{Statistical software}} | |||
[[Category:Econometrics software]] | |||
[[Category:Statistical software]] | |||
[[Category:Time series software]] |
Revision as of 23:40, 15 August 2013
Template:Infobox Software
NumXL (Numerical Analysis for Excel) is an econometrics/time series analysis add-in for Microsoft Excel. Developed by Spider Financial, NumXL provides a wide variety of statistical and time series analysis techniques, including linear and nonlinear time series modeling, statistical tests and others.
Although NumXL is intended as an analytical add-in for Excel, it extends Excel’s user-interface and offers numerous wizards, menus and toolbars to automate the mundane phases of time series analysis. The features include summary statistics, test of hypothesis, correlogram analysis, modeling, calibration, residuals diagnosis, back-testing and forecast.
NumXL users come from various backgrounds of finance, economics, engineering and science. NumXL is used in academic and research institutions as well as industrial enterprises.
NumXL User's Interface
NumXL comes with an elaborate user-interface (i.e. menu and toolbar) and interactive wizards to improve the general usability of the software. The NumXL UI components automate some steps in time series analysis and modeling.
Using the UI components and the wizards, the user can specify the time series of interest, fine-tune the desired analysis options and designate the location on his/her worksheet for the output. NumXL generates the corresponding analysis blocks (with underlying formulas) in the designated location
Function Categories
NumXL Functions are organized into eleven(11) categories:
Descriptive Statistics
- Autocorrelation function(ACF) and Partial autocorrelation function (PACF).
- Cross-correlation functions - XCF and EWXCF
- MD, RMD, MAD
- Statistical Functions - Calculate the excess kurtosis of the standardized GED and Student's t-dist.
- Empirical distribution functions: Histogram, EDF and KDE
Statistical Testing
- Hypothesis Test for population mean, for standard deviation, for skewness and for excess kurtosis.
- Normality test using Jarque–Bera test, Shapiro–Wilk test, and Chi-square test methods.
- White-noise test - Serial correlation tests (Portmanteau Test, Ljung-Box test and modified Q-test).
- Autoregressive Conditional Heteroskedasticity (ARCH) effect test.
- Augmented Dickey-Fuller (ADF) unit-root test.
- Multicollinearity test.
- Regression Stability Test (Chow test).
Transform
- Box-Cox and inverse Box-Cox transform.
- Logit, Probit and complementary log log link functions and its inverse.
- LAG or Backshift operator,
- Seasonal difference operator
- Time Series Integral operator
- Add, Subtract, scale, and chronological order reverse functions.
- Remove missing values from a time series.
Smoothing
- WMA
- Exponential smoothing functions: Brown's simple exponential, Holt-Winters double exponential, Brown's linear exponential, and Winters triple exponential smoothing functions.
- Time Series Trend - Linear, polynomial, logarithmic, exponential, and power
Spectral Analysis
Date and Calendar
- Weekday and workdays calculations
- International weekend support
- 11 international Holidays support.
ARMA Modeling
- Autoregressive Moving Average (ARMA) model
- AirLine Model
- X-12-ARIMA
- Goodness of fit - LLF, AICc and model's diagnosis.
- Forecast and back-testing
ARCH/GARCH Analysis
- Basic Operators - EWMA/EWV
- GARCH Model.
- Exponential GARCH (E-GARCH) Model.
- GARCH in the mean (GARCH-M) Model.
- Support for Gaussian, Student's t and GED distributed innovations/shocks.
- Goodness of fit - LLF, AICc and model's diagnosis
Factor Analysis
- Simple Linear Regression (SLR)
- Multiple Linear Regression (MLR)
- Principal Component Analysis (PCA) and Principal component regression
- Stepwise regression
- Generalized Linear Model (GLM)
- Support for the following Canonical link Functions:
Distribution | Name | Link Function |
---|---|---|
Normal | Identity | |
Poisson | Log | |
Binomial | Logit | |
Binomial | Probit | |
Binomial | Complementary log-log |
- Support for Goodness of fit: LLF, AIC, Adjusted R-Squared, BIC/SIC and Deviance
- Residual diagnosis.
Advanced (Combo) Models
- Model Definition Function.
- Mixed Model - likelihood function.
- Goodness of fit - LLF, AICc, and model's diagnosis.
Utilities
- Interpolation Functions - Flat forward/backward, linear, and cubic spline interpolation.
Compatibility with Microsoft Excel
NumXL's statistical analysis software is compatible with all Excel versions from version 97 to version 2013 (aka Office 365), and is compatible with the Windows 9x till Windows 8 (32 and 64-bit) systems.
Release history
Version[1] | Release | Year | Release Date | Notes |
---|---|---|---|---|
NumXL 1.0 | 1.0 | 2009 | October 1, 2009 | Official release |
NumXL 1.0 | 2010 | January 5, 2010 | Maintenance Release I | |
NumXL 1.0 | January 26, 2010 | Maintenance Release II | ||
NumXL 1.0 | September 2, 2010 | Maintenance Release III | ||
NumXL 1.5 | 1.5 | 2011 | June 13, 2011 | New version |
NumXL 1.51 | ORB | September 23, 2011 | Maintenance release. | |
NumXL 1.51.40905.1 | December 28, 2011 | Maintenance release I | ||
NumXL 1.51.40927.3 | 2012 | January 19, 2012 | Maintenance release II | |
NumXL 1.52.40934.5 | January 26, 2012 | New version | ||
NumXL 1.52.41002.5 | April 3, 2012 | Maintenance release I | ||
NumXL 1.52.41018.1 | April 19, 2012 | Maintenance release II | ||
NumXL 1.53.41023.1 | SAC | April 25, 2012 | New version | |
NumXL 1.53.41025.1 | April 26, 2012 | Maintenance release I | ||
NumXL 1.54.41030.2 | RED | May 2, 2012 | New version | |
NumXL 1.55.41040.2 | LYNX | May 11, 2012 | New version | |
NumXL 1.56.41060.2 | ZEBRA | May 31, 2012 | New version | |
NumXL 1.57.41168.2 | SINGA | September 17, 2012 | New version | |
NumXL 1.58.41197.1 | BAJA | October 16, 2012 | New version | |
NumXL 1.59.41245.1 | TUCSON | December 3, 2012 | New version | |
NumXL 1.59.41288.1 | 2013 | January 14, 2013 | Maintenance Release I | |
NumXL 1.59.41295.1 | January 21, 2013 | Maintenance Release II | ||
NumXL 1.59.41304.1 | January 30, 2013 | Maintenance Release III | ||
NumXL 1.59.41325.1 | February 19, 2013 | Maintenance Release VI | ||
NumXL 1.59.41339.1 | March 6, 2013 | Maintenance Release VII | ||
NumXL 1.59.41341.1 | March 8, 2013 | Maintenance Release VIII | ||
NumXL 1.59.41346.1 | March 13, 2013 | Maintenance Release IX | ||
NumXL 1.59.41366.1 | April 2, 2013 | Maintenance Release X | ||
NumXL 1.59.41372.1 | April 8, 2013 | Maintenance Release XI | ||
NumXL 1.59.41374.1 | April 11, 2013 | Maintenance Release XII | ||
NumXL 1.60.41413.1 | APACHE | May 20, 2013 | New version | |
NumXL 1.60.41415.1 | May 21, 2013 | Update 1 | ||
NumXL 1.60.41418.1 | May 24, 2013 | Update 2 | ||
NumXL 1.61.41445.1 | BOLAS | June 20, 2013 | New version | |
NumXL 1.61.41462.1 | July 7, 2013 | Update 1 |
See also
- EViews—A statistical package for Windows
- gretl—an open source alternative to EViews
- Rcmdr—an open source R-based alternative to SPSS
- OxMetrics—an alternative econometrics package
- RATS
- Comparison of statistical packages
- AREMOS
References
43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.