Least squares is a common way to measure errors in statistical analysis. The least squares formula is best known for favoring things with a lot of small errors over those with a few large errors.
LEAST SQUARES FIT - See Regression Analysis
LINEAR REGRESSION - See Regression Analysis ...
Least Squares Method
A statistical method to derive the formula for a line that fits the data points by minimizing the sum of the squares of the deviations of the given points from the line. This method is used in calculating linear regression.
Sum Of Least Squares
The Sum Of Least Squares method provides an objective measure for comparing a number of straight lines to find the one that best fits the selected data.
LSMA - Least Squares Moving Average
Also called "moving linear regression" or "regression oscillator".
See also Least Squares MA, Simple MA, Triangular MA, Weighted MA, Welles MA, Variable MA, Volume Adjusted MA, Zero Lag Exponential MA, DEMA, TEMA and T3.
Indirect least squares, a statistical technique
Instrument landing system, a precise navigation system for aircraft, used under instrument flight rules
Integrated library system ...
Least Squares Method: A technique of fitting a curve close to some given points that minimizes the sum of the squares of the deviations of the given points from the curve.
Leg: One side of a spread.
TSF, the Time Series Forecast indicator, consists of linear regression measurements using the Least Squares method. Linear regression is a statistical tool for forecasting future Forex market values comparing to past values.
Linear Regression is a tool used to measure trends and consists of a straight line drawn through the prices using the least squares method to plot the line.
The Time Series Forecast is determined by calculating a linear regression trendline using the "least squares fit" method.
A Linear Regression trend line is simply a trend line drawn between two points using the least squares fit method. The trend line is displayed in the exact middle of the prices.
LSQ line - LSQ stands for a mathematical formula called "least squares." In technical analysis, an LSQ line is a trend line that determines the midpoint of price data on a stock graph.
To calculate the Time Series Forecast you have to use a "least squares fit" technique to calculate a linear regression trendline, ...
The Classic Standard Regression Channel is like the Breakout Standard Regression Channel except the least squares fit and the channel lines are computed using all of the data in the current plot.
Box-Jenkins Nonlinear Least Squares The multiplicative structure of Box-Jenkins models using the Gauss-Newton algorithm with numerical derivatives.
Linear Regression Channel is built on base of Linear Regression Trend representing a ussual trendline drawn between two points on a price chart using the method of least squares.
EPS Growth Rate, 3-5 Year
This item is calculated by using a least squares regression fit over a 3-to-5 year period of earnings per share based on a trailing four-quarter count. more...
Endpoint Moving Average - The endpoint moving average uses a least squares (linear regression) fit to derive each point on the moving average line based on the preceding period.
The concept behind linear regression is to find the best estimate of the trend given a noisy sample of data points. It is calculated by using the "Least Squares" method over a given period, ...
A Linear Regression Trendline is a straight line drawn through a chart of a security's prices using the least squares method.
It may be estimated using ordinary least squares (OLS) regression analysis. Often an attribute vector (or dummy variable) is assigned to each characteristic or group of characteristics.
For example, an ANN that is used to fit a nonlinear regression curve, using one input, one linear output, and one hidden layer with a logistic transfer function, can function like a polynomial regression or least squares spline.
See also: Square, Regression, Analysis, Trend, Point