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M
-
M= option
- MODEL statement (TSCSREG)
-
%MA and %AR macros combined
-
MA Initial Conditions
- conditional least squares
- maximum likelihood
- unconditional least squares
-
%MA macro
-
MA= option
- ESTIMATE statement (ARIMA)
-
MACURVES statement
- X11 procedure
-
managing
- forecasting project
-
managing forecasting projects
-
MAPECR= option
- ARIMA statement (X11)
-
Mapping FAME frequencies to SAS time intervals
- SASEFAME engine
-
Mardia's test
- normality tests
-
Marquardt method
- ARIMA procedure
-
Marquardt-Levenberg method
-
MARR= option
- COMPARE statement (LOAN)
-
mathematical functions
- functions
-
matrix language
- SAS/IML software
-
MAXADJUST= option
- ARM statement (LOAN)
-
MAXERRORS= option
- PROC MODEL statement
-
maximizing likelihood functions
-
maximum likelihood
- AR initial conditions
- MA Initial Conditions
-
maximum likelihood method
- AUTOREG procedure
-
MAXIT=
- PROC SYSLIN statement
-
MAXIT= option
- ESTIMATE statement (ARIMA)
- PROC STATESPACE statement
-
MAXITER= option
- ARIMA statement (X11)
- ESTIMATE statement (ARIMA)
- FIT statement (MODEL)
- MODEL statement (AUTOREG)
- MODEL statement (PDLREG)
- PROC SYSLIN statement
- SOLVE statement (MODEL)
-
MAXRATE= option
- ARM statement (LOAN)
-
MAXSUBITER= option
- FIT statement (MODEL) "FIT Statement"
- FIT statement (MODEL) "Minimization Methods"
- SOLVE statement (MODEL)
-
MDY
- function
-
MDY function
-
mean absolute error
- statistics of fit
-
mean absolute percent error
- statistics of fit
-
MEAN= option
- MODEL statement (AUTOREG)
-
mean percent error
- statistics of fit
-
mean prediction error
- statistics of fit
-
mean square error
- statistics of fit
-
MEANS procedure
-
measurement equation
- observation equation
- of a state space model
-
MELO option
- PROC SYSLIN statement
-
memory requirements
- MODEL procedure
-
MEMORYUSE option
- PROC MODEL statement
-
menu interfaces
- to SAS/ETS software "Contents of SAS/ETS Software"
- to SAS/ETS software "Time Series Forecasting System"
-
merging series
- time series data
-
merging time series data sets
-
METHOD= option
- ARIMA statement (X11)
- CONVERT statement (EXPAND) "Conversion Methods"
- CONVERT statement (EXPAND) "CONVERT Statement"
- FIT statement (MODEL) "FIT Statement"
- FIT statement (MODEL) "Minimization Methods"
- MODEL statement (AUTOREG)
- MODEL statement (PDLREG)
- PROC EXPAND statement "Conversion Methods"
- PROC EXPAND statement "PROC EXPAND Statement"
- PROC FORECAST statement
-
METHOD=CLS option
- ESTIMATE statement (ARIMA)
-
METHOD=ML option
- ESTIMATE statement (ARIMA)
-
methods in other SAS products
- econometrics
-
METHOD=ULS option
- ESTIMATE statement (ARIMA)
-
Michaelis-Menten Equations
-
midpoint dates of
- time intervals
-
MINIC (Minimum Information Criterion) method
-
MINIC option
- IDENTIFY statement (ARIMA)
- PROC STATESPACE statement
-
minimization methods
- MODEL procedure
-
minimization summary
- MODEL procedure
-
minimum attractive rate of return
- LOAN procedure
- MARR
-
minimum expected loss estimator
- MELO estimation method
- SYSLIN procedure
-
Minimum Information Criterion (MINIC) method
-
MINRATE= option
- ARM statement (LOAN)
-
MINTIMESTEP= option
- FIT statement (MODEL) "FIT Statement"
- FIT statement (MODEL) "Numerical Integration"
- MODEL statement (MODEL)
- SOLVE statement (MODEL)
-
MINUTE
- function
-
missing observations
- contrasted with omitted observations
-
MISSING= option
- FIT statement (MODEL)
-
missing values
- COMPUTAB procedure
- contrasted with omitted observations
- embedded in time series
- FORECAST procedure
- interpolation of
- MODEL procedure "Estimation Methods"
- MODEL procedure "Numerical Solution Methods"
- smoothing models
- time series data
- time series data and
-
missing values and
- time series data "Missing Values and Omitted Observations"
- time series data "Several Series with Different Ranges"
-
MISSONLY operator
-
mixed models
-
MMAE
-
MMSE
-
model evaluation
-
Model Identification
- ARIMA procedure
-
model list
-
MODEL= option
- ARIMA statement (X11)
- PROC MODEL statement "PROC MODEL Statement"
- PROC MODEL statement "Storing Programs in Model Files"
-
MODEL Procedure
- Almon lag polynomials
- polynomial distributed lag models
- adjacency graph
- adjusted R squared
- analyzing models
- ARMA model
- autoregressive models
- auxiliary equations
- block structure
- character variables
- Chow tests
- collinearity diagnostics "Troubleshooting Convergence Problems"
- collinearity diagnostics "Troubleshooting Convergence Problems"
- compiler listing
- control variables
- controlling starting values
- convergence criteria
- cross-equation covariance matrix
- cross-reference
- dependency list
- derivatives
- diagnostics and debugging
- Durbin-Watson
- dynamic simulation "Ordinary Differential Equations"
- dynamic simulation "Solution Modes"
- equation translations
- equation variables
- estimation convergence problems
- estimation methods
- estimation of ordinary differential equations
- forecasting
- full information maximum likelihood
- functions across time
- goal seeking
- grid search
- Hausman specification test
- initializing lags
- input data sets
- internal variables
- Jacobi method
- lag functions
- lag lengths
- lag logic
- language differences
- large problems "Computer Resource Requirements"
- large problems "Computer Resource Requirements"
- likelihood confidence intervals
- limitations on ordinary differential equations
- linear dependencies
- memory requirements
- minimization methods
- minimization summary
- missing values "Estimation Methods"
- missing values "Numerical Solution Methods"
- model variables
- Monte Carlo simulation
- moving average models
- n-period-ahead forecasting
- nested iterations
- Newton's Method
- nonadditive errors
- ordinary differential equations and goal seeking
- output data sets
- output table names
- parameters
- program listing
- program variables
- properties of the estimates
- quasi-random number generators
- R squared "Estimation Methods"
- R squared "Troubleshooting Convergence Problems"
- random-number generating functions
- restrictions on parameters
- S matrix
- S-iterated methods
- Seidel method
- SIMNLIN procedure
- simulation
- solution mode output
- solution modes "Numerical Solution Methods"
- solution modes "Numerical Solution Methods"
- solution modes "Solution Modes"
- SOLVE Data Sets
- starting values "Troubleshooting Convergence Problems"
- starting values "Troubleshooting Convergence Problems"
- static simulation
- static simulations
- stochastic simulation
- storing programs
- summary statistics
- SYSNLIN procedure
- systems of ordinary differential equations
- tests on parameters
- time variable
- troubleshooting estimation convergence problems
- troubleshooting simulation problems
- using models to forecast
- using solution modes "Solution Modes"
- using solution modes "Solution Modes"
- variables in model program
- _WEIGHT_ variable
-
MODEL procedure and
- differencing
- lags
-
MODEL procedure version
- DIF function
- LAG function
-
model selection
-
model selection criterion
-
model selection for X-11-ARIMA method
- X11 procedure
-
model selection list
-
MODEL statement
- AUTOREG procedure
- PDLREG procedure
- SYSLIN procedure
- TSCSREG procedure
-
model variables
- MODEL procedure
-
Model Viewer
- graphs
- plots
-
Monte Carlo simulation
- examples
- MODEL procedure
-
MONTH
- function "Computing Calendar Variables from Dates"
- function "SAS Date, Time, and Datetime Functions"
-
MONTHLY statement
- X11 procedure
-
moving average function
-
moving average models
- MODEL procedure
-
moving averages
- percent change calculations
-
moving between computer systems
- SAS data sets
-
moving seasonality test
-
moving time window operators
-
moving-average parameters
- ARIMA procedure
-
MTITLE= option
- COLUMNS statement (COMPUTAB)
-
MU= option
- ESTIMATE statement (ARIMA)
-
multiperiod
- leads
-
multiperiod differences
- differencing
-
multiperiod lagging
- lags
-
multiperiod lags and
- DIF function
- LAG function
- summation "Summing Series"
- summation "Summing Series"
- summation "Summing Series"
-
multiple selections
-
multiplicative model
- ARIMA model
-
multipliers
- SIMLIN procedure "Dynamic Multipliers"
- SIMLIN procedure "Dynamic Multipliers"
- SIMLIN procedure "Dynamic Multipliers"
- SIMLIN procedure "OUTEST= Data Set"
- SIMLIN procedure "OUTEST= Data Set"
- SIMLIN procedure "Printed Output"
- SIMLIN procedure "Printed Output"
- SIMLIN procedure "Printed Output"
- SIMLIN procedure "PROC SIMLIN Statement"
- SIMLIN procedure "PROC SIMLIN Statement"
-
multipliers for higher order lags
- SIMLIN procedure "Example 16.2: Multipliers for a Third-Order System"
- SIMLIN procedure "Multipliers for Higher Order Lags"
-
multivariate
- autocorrelations
- normality tests
- partial autocorrelations
-
multivariate forecasting
- STATESPACE procedure
-
multivariate time series
- STATESPACE procedure
A |
B |
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D |
E |
F |
G |
H |
I |
J |
K |
L |
M |
N |
O |
P |
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S |
T |
U |
V |
W |
X |
Y |
Z |
Numbers |