... fuzzy **linear** **regression** analysis (**regression** coefficient is clear number) can be transformed into traditional **linear** **regression** ...fuzzy **linear** **regression** analysis can be ...

8

... multi-**linear** **regression** **model** of verbs in the Quran book. This **model**, gives an analysis for the influence to frequency of words with the form (—un, نو---) made by the frequency of plural ...

10

... of **linear** **regression** **model** during bioanalytical method ...sion **model** and to suggest the need for a weighted re- gression **model** to reduce ...weighted **linear** **regression**, the ...

7

... temperature accounted for 87.3% of the total variation in residential electricity consumption while the remaining 12.7% was accounted for by other variables not in the **model**. The contribution of population ( ߙ ଵ = ...

10

... the **linear** **regression** **model** of IPD by adopting a bi-weight function ...a **linear** **regression** slope forced unwrap- ping method which recursively adjusted the estimated wrapping frequency ...

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... heteroscedastic **linear** **regression** ...and **regression** is run on these average ...the **linear** **regression** **model**, facing groupwise ...heteroscedastic **linear** **regression** ...

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... Multiple **linear** **regression** **model** was introduced for the design of piles subjected to axial compression load. The design equation represents the relationships between many variable of soil-structure ...

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... This study was carried out to predict the gestational age based on ultrasound measurements of fetal parameters using **linear** **regression** **model**. Patricia M .Dietz et al ., (2007 in their study provided ...

7

... hybrid **model** is developed to diagnose heart disease more ...a **model** is developed by combing the efficient output features of Decision trees, Naive Bayes, Neural Networks and Support Vector Machines and ...

7

... The paper introduces a new biased estimator namely Generalized Optimal Estimator (GOE) in a multiple **linear** **regression** when there exists multicollinearity among predictor variables. Sto- chastic properties ...

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... It therefore appears that from a practical point of view, there are few changes of major consequence in the distributions and properties of estimators and the properties of statistical t[r] ...

248

... Environmental prediction in metal mine has been the main problem which interferes with mining working at depth. And its corresponding formation mechanism is so complicated that the environmental prediction theory cannot ...

6

... constructing **regression** models (Econometric toolbox), which gave the authors relief from the duty of programming the standard functions of **regression** ...

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... In **regression** analysis, data sets often contain unusual observations called ...of **model** building in that they have to be diag- nosed so as to ascertain whether they are influential or ...

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... The measurement instrument used in this study was sound level meter of Class 2, **Model** SL-1352, manufactured by HTC. Sound level meter SL-1352. All readings were made by SL-1352 sound level meter with calibrated ...

10

... **Linear** **Regression**: **Linear** **regression** attempts to **model** the relationship between two variables by fitting a **linear** equation to observed ...a **linear** **regression** ...

7

... multiple **linear** **regression** **model** which mixes the fuzzy and crisp predictors in one **model** called “Mixed Fuzzy Crisp” (MFC) **regression** **model**, is ...new **model** is derived ...

17

... a **regression** **model** to represent the relationship between a **linear** response and a circular ...i.e **linear**, circular or di- rectional. They also give a circular-**linear** **regression** ...

9

... work **Linear** **regression** and Random Forest **model** are used for prediction and result show that accuracy is not very high so proposed a new **model** which overcome the limitation of **Linear** ...

8

... future. **Linear** **regression** was for us, a way that could give us a simple **model** to measure the impact of characteristics of a dependent variable on one or more well-defined variables; So an economic ...

7