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中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH1 The Classical Multiple Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model。
Computing pit excavation volume using Multiple Regression Analysis
Estimate Excavation Regression Pit Volume
2014/11/12
Volume estimation of borrow pits is common application in civil Engineering. Several methods for volume estimation have been presented in literature. In general, they rely on a specific polynomial to ...
上海财经大学经济学院高级计量经济学I课件Lecture 1 The Classical Multiple Regression Model
海财经大学经济学院 高级计量经济学I 课件 Lecture 1 Multiple Regression Model
2012/7/16
海财经大学经济学院高级计量经济学I课件Lecture 1 The Classical Multiple Regression Model.
Prediction of placebo responses by multiple regression methods and CFA.Re-analysis of an experiment conducted by W. Janke between 1963 and 1966
Configural Frequency Analysis (CFA) bi-prediction analysis placebo response
2010/1/4
This paper is based on experimental studies on the psychological effects of placebo and their predictability by personality characteristics, which were conducted by the first author in prepration of h...
Child problem behavior in kindergarten and in primary school: A comparison between prediction configural frequency analysis and multiple regression
child behavior problems externalizing and internalizing problems prediction configural frequency analysis (P-CFA) multiple regression person-oriented approach
2009/12/31
This study compares a variable-oriented and a person-oriented analysis of the stability of child problem behavior from kindergarten to primary school. The sample contained 448 children from the Erlang...
Multiple Regression Analysis of Malting Barley Yield and Climatic Conditions in Kyushu Region
Climatic condition Malting barley Multiple regression analysis Precipitation Wet injury
2009/8/6
Multiple regressions of six malting barley cultivars between yield and climatic conditions in Kyushu region over years were computed by backward and forward procedure. Phenotypic correlations between ...
Prediction of Silking Date of Corn from the Multiple Regression Formula with Day Length and Average Temperature as Variables
Corn Day length Multiple regression formula Prediction Silking stage
2009/7/10
The silking date of corn was predicted from the multiple regression formula (MRF) with day length and the average temperature within one month after sowing as variables. The cultivars used were G4321...
Comparison of the Constancy of Heat Unit Accumulation Needed for Heading of Sorghum and Prediction of Heading Date by the Multiple Regression Formula in Northern Kyushu District
Multiple regression formula Heading date Sorghum Effective heat unit accumulation
2009/7/9
The constancy of the heat unit accumulation needed for the heading of sorghum cultivar P956 was examined for the simple heat unit accumulation method, the effective heat unit accumulation Method I in ...
Studies on Determination of Soy Sauce Chromaticity Using a Synthesized Combination of a Spectro Colorimetric Method and the Multiple Regression Analysis
soy sauce chromaticity spectro colorimetric method regression analysis
2009/6/18
A method of determining soy sauce chromaticity by a spectro colorimetric method was investigated to objectively evaluate the chromaticity usually decided by a visual sensory test. The objective chroma...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part II: Veri.cation of Regression Models
layer diagrams surface diagrams learning quality validation quality
2009/6/16
A verification of regressive models based on artificial neural networks and multiple regression
analysis was carried out. The analysis of the results obtained showed that artificial
neural networks ...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part I: Identification of Spliced Joints of Combed Wool Yarn by Artificial Neural Networks and Multiple Regression
combed wool yarn pneumatically spliced joints additive quantities
2009/6/15
Applying the software environment Statistica for neural networks allowed the use of artificial
neural networks and regression analysis to predict the physical properties of unknotted
joints of yarn ...
STRONG CONSISTENCY OF M-ESTIMATES OF MULTIPLE REGRESSION COEFFICIENTS
Linear regression M-estimate strong co
2007/12/17
In the case where ρ is convex we give a set of sufficient conditions for the strong consistency of M-estimate of multiple regression coefficients.
Study on traffic noise level of Sylhet by multiple regression analysis associated with health hazards
Sound Level multiple regression health hazard
2010/4/7
The study reports the level of traffic-induced noise pollution in Sylhet City. For this purpose noise levels have been measured at thirty-seven major locations of the city from 7 am to 11 pm during th...
Artificial neural network as an alternative to multiple regression analysis for estimating the parameters of econometric models
artificial neural network econometric models grain yield
2010/1/13
In recent years, neural networks have been used for a wide variety of applications where statistical methods are traditionally employed. Neural nets offer the opportunity to create a model by using te...