Education is an important factor that can affect the development of a country and basic human need. To ensure continuous progress education, it necessary to pay attention results achievements education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) used explain relationship between outcomes quality dimensions provincial However, because there heterogeneity pop...

localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...

least squares method (lsm) is an accurate and rapid method for solving some analytical andnumerical problems. this method can be used to estimate the average reservoir pressure in well testanalysis. in fact, it may be employed to estimate parameters such as permeability (k) and porevolume (vp). regarding this point, buildup, drawdown, late transient test data, modified muskatmethod, interferenc...

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation Ax = b, where A is an m×n full-rank matrix, b is a column-vector of dimension m, and m (the number of equations) is larger than or equal to n (the dimension of the unknown vector x). Generally, the equations are inconsistent and there is no feasible solution for x unless b belongs t...

The purpose of this study is to determine the car sales volume desired by PT Toyota Astra Motor so that company can make decisions conducting forecasting. This type research carried out in a quantitative descriptive form. Data collection techniques using documentation and collecting secondary data. forecasting method at Indonesia semi-average trend with 2022 result 241,301 units least square 24...

A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.