Multiple Stepwise Regression Analysis Crack Open Degree Data in Gravity Dam

2013 ◽  
Vol 477-478 ◽  
pp. 888-891 ◽  
Author(s):  
Wei Wen Shen ◽  
Jian Min Ren
Keyword(s):  
Regression Analysis ◽  
Stepwise Regression ◽  
Model Equation ◽  
Gravity Dam ◽  
Open Crack ◽  
Regression Equations ◽  
Statistical Parameters ◽  
Crack Open ◽  
Multiple Stepwise Regression Analysis ◽  
Model Equations

This research mainly focuses on the analysis of factors influences on gravity dam open crack on the basis of theoretical regression equations. It calculated the equations with multiple stepwise regression and selected factors that had significant influence on gravity dam crack to form the model equations. Moreover, it evaluated the reliability and accuracy of model equation through statistical parameters and chart to get a reasonable analysis.

scholarly journals Determination of individual teleroentgenographic characteristics of the face profile in ukrainian young men and girls with orthognathic bite

2018 ◽  
pp. 28-34
Author(s):  
М. О. Dmitriev
Keyword(s):  
Regression Analysis ◽  
Soft Tissue ◽  
Young Women ◽  
Stepwise Regression ◽  
Young Men ◽  
Stepwise Regression Analysis ◽  
Regression Equations ◽  
Determination Coefficient ◽  
Normal Occlusion

Modern dentistry requires the definition of individualized values of teleroentgenographic indicators. To solve such problems, methods of regression and correlation analysis are increasingly used, which help to establish not only the existence of various relationships between the anatomical structures of the head and the parameters of the dento-jaw system, but also allow more accurately predict the change in the contour of soft facial tissue in response to orthodontic treatment. The purpose of the study is to develop mathematical models for the determination of individual teleroentgenographic characteristics of the facial soft tissues by studying the cephalometric indices of young men and women of Ukraine with normal occlusion and balanced faces and conducting a direct stepwise regression analysis. With the use of Veraviewepocs 3D device, Morita (Japan) from 38 young men (17 to 21 years of age) and 55 young women (aged from 16 to 20 years) with occlusal close to the orthognathic bite and balanced faces received side teleroentgenograms. The cephalometric analysis was performed using OnyxCeph³™ licensed software. Cephalometric points and measurements were made according to the recommendations of Downs W. B., Holdway R. A., McNamara J., Schwarz A. M., Schmuth G. P. F., Steiner C. C. and Tweed C. H. With the help of direct stepwise regression analysis, in the licensed package “Statistica 6.0”, regression models of individual teleroentgenographic characteristics of the profile of soft facial tissues were constructed. In young men with normal occlusion close to the orthognathic bite of 19 possible models, 11 were constructed with a determination coefficient from 0.638 to 0.930, and in young women – 12 models with a determination coefficient from 0.541 to 0.927. The conducted analysis of models showed that in young men most often the regression equations included – angle N_POG, parameters of which indicate a linear interjaw relation in the anterior-posterior direction (14.0%); angle GL_SNPOG, or index of convexity of the soft tissue profile (8.8%); MAX maxillary length (7.0%), and GL_SN_S index, which defines vertical correlations in the facial profile (5.3%). The young women most often models included – the angle N_POG (12.5%); angle GL_SNPOG (7.5%); soft tissue front angle P_OR_N (6.25%); the reference angle ML_NL and the profile angle T (by 5.0%); the angle AB_NPOG, the angle NBA_PTGN, which defines the direction of development of the mandible and the distance PN_A (3.75%). Thus, in the work with the help of the method of stepwise regression with inclusion, among Ukrainians of adolescence age, based on the characteristics of teleroentgenographic indicators, reliable models of individual teleroentgenographic characteristics of the profile of soft facial tissues were developed and analyzed.

scholarly journals Residents’ Diachronic Perception of the Impacts of Ecological Resettlement in a World Heritage Site

2019 ◽  
Vol 16 (19) ◽  
pp. 3556
Author(s):  
Kai Wang ◽  
Menghan Wang ◽  
Chang Gan ◽  
Mihai Voda
Keyword(s):  
Regression Analysis ◽  
Stepwise Regression ◽  
World Heritage ◽  
Stepwise Regression Analysis ◽  
World Heritage Site ◽  
The Sustainable Development ◽  
Multiple Stepwise Regression Analysis ◽  
Heritage Site ◽  
Negative Perceptions ◽  
Main Factors

As one of the main factors in any tourist destination, residents’ perception of the impacts of ecological resettlement has a substantial influence on the sustainable development of any world heritage site. Our research takes the residents of three different resettlement locations in the Wulingyuan scenic area, a world heritage site, as the object of our survey. Based on questionnaire investigations in 2010 and 2016, this article analyzes the residents’ diachronic perception of the impacts of ecological resettlement. Independent sample t-tests and Analysis of Variance (ANOVA) are used to compare the differences in residents’ perception toward ecological relocation and analyse how demographic characteristics affect residents’ perception. Multiple stepwise regression analysis is applied to explore the main factors that contribute to the differences in the perception of impacts of ecological resettlement. The results show that during the study period, respondents have the strongest perceptions of the economic, socio-cultural, resource-environment and psychological impacts. However, they have negative perceptions of relocation policy impacts. Compared with 2010, residents with different gender, age, education level, income level and engagement in tourism have significant differences in perception of impacts of resettlement in 2016. Multiple stepwise regression analysis demonstrates that the perceptions of impacts of the ecological resettlement and economic policy are the primary factors to affect residents’ overall perceptions.

Interrelationships among age, body weight, backfat and lactation feed intake with reproductive performance and longevity of sows

1991 ◽  
Vol 71 (2) ◽  
pp. 567-575 ◽  
Author(s):  
L. G. Young ◽  
G. J. King ◽  
J. Shaw ◽  
M. Quinton ◽  
J. S. Walton ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Reproductive Performance ◽  
Feed Intake ◽  
Stepwise Regression ◽  
Analysis Data ◽  
Backfat Thickness ◽  
Appreciable Amount ◽  
Regression Equations ◽  
Dietary Energy

Data from an experiment involving gilts mated at first, second or third observed estrus and feeding of three levels of gestation energy throughout four parities were used to evaluate the effects of age, body weight, backfat thickness and changes in them on various measures of reproductive performance. Regression equations were estimated by using a stepwise regression analysis. Data were available for 304 initial sows that farrowed a first litter of which 115 farrowed to initial assigned breeding within gestation dietary energy level and completed four parities. Age, weight, backfat thickness or ratios between them at initial mating did not account for an appreciable amount of the variation (R2 < 0.08) in number of pigs born alive in the first litter or total number of pigs born alive per initial sow. Feed intake in lactation, age at first estrus as gilts or age at breeding of sows and the ratio of backfat to weight at farrowing accounted for a small proportion of the variation in weaning to estrus interval. There was an increased culling rate of sows with less than 12 mm P2 backfat at weaning after parities 2 and 3. Key words: Weight, backfat, reproduction, longevity, sows

scholarly journals Association of serum fetuin-B with insulin resistance and pre-diabetes in young Chinese women: evidence from a cross-sectional study and effect of liraglutide

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11869
Author(s):  
Xuyun Xia ◽  
Shiyao Xue ◽  
Gangyi Yang ◽  
Yu Li ◽  
Hua Liu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Young Women ◽  
Stepwise Regression ◽  
Chinese Women ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Multiple Stepwise Regression Analysis ◽  
Glucose And Lipid Metabolism ◽  
The Relationship ◽  
Group Serum

Background and Aims Fetuin-B has been reported to be involved in glucose and lipid metabolism and associated with the occurrence of diabetes. The main purpose of this study is to explore the changes of circulating fetuin-B in young women with pre-diabetes and to analyze the relationship between fetuin-B and the occurrence and development of IR. Methods A total of 304 women were enrolled in this study and subjected to both OGTT and EHC. A subgroup of 26 overweight/obese womenwas treated with Lira for 24 weeks. serum fetuin-B concentrations were measured by ELISA. Results In IGT and IR-NG groups, serum fetuin-B levels were higher than those in the NGT group. The serum fetuin-B levels in the IGT group were higher than those in the IR-NG group. serum fetuin-B was positively correlated with BMI, WHR, 2h-BG, FIns, HbA1c, and HOMA2-IR, but negatively correlated with the M-value in all study populations. Multiple stepwise regression analysis showed that the M-value was independently and inversely associated with serum fetuin-B. Logistic regression analysis showed that serum fetuin-B was independently associated with IGT and significantly increased the risk of IGT. During the OGTT, serum fetuin-B increased significantly in the NGT group, but there were no significant changes in other groups. During the EHC, serum fetuin-B increased in the IGT group, but there was no change in other groups. After Lira intervention, serum fetuin-B decreased significantly in IGT women. Conclusions serum fetuin-B levels are elevated in young women with IR or IGT and may be associated with IR.

scholarly journals Die voorspelling van kredietrisiko met behulp van biografiese veranderlikes: Is dit die antwoord?

1983 ◽  
Vol 14 (4) ◽  
pp. 166-171
Author(s):  
P. L.S. Ackermann ◽  
W. P. Jansen van Rensburg
Keyword(s):  
Regression Analysis ◽  
Discriminant Analysis ◽  
Credit Risk ◽  
Representative Sample ◽  
Stepwise Regression ◽  
Stepwise Regression Analysis ◽  
Stepwise Discriminant Analysis ◽  
Relative Importance ◽  
Multiple Stepwise Regression Analysis

The prediction of credit risk by means of biographic variables: Is this the answer? The objective of this study is to identify specific biographical variables, to quantity them and to investigate their relative importance in the prediction of credit risk. A representative sample of 250 bad credit risk clients and 250 good credit risk clients is used in the study. A multiple stepwise regression analysis and multiple stepwise discriminant analysis were carried out. Nine biographical variables were identified which explain approximately 16% of the variance of credit risk.

Temperature Character Analysis of RCC Based on Stepwise Regression Model

2012 ◽  
Vol 238 ◽  
pp. 268-271
Author(s):  
Yu Qing Zhao
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Stepwise Regression ◽  
Stepwise Regression Analysis ◽  
Gravity Dam ◽  
Practical Calculation ◽  
Analysis Model ◽  
Related Factors ◽  
Reservoir Water ◽  
Basic Principles

The basic principles and ways of stepwise regression analysis is explained, taking the case of Jiangya gravity dam. On the basis of the temperature monitoring data, the optimal regression equation of the dam temperature is established gradually by the dam bedrock temperature, air temperature and reservoir water temperature and other related factors. It is proved that stepwise regression analysis model is reasonable and the simulation is fairly well with high precision. The stepwise regression model can be used to analyze the concrete temperature. The work provides the practical calculation basis for the monitoring of dam safety running.

scholarly journals A Preliminary Luminosity Calibration of the Uvby, β Systems for Supergiant F-Type Stars

1985 ◽  
Vol 111 ◽  
pp. 491-494
Author(s):  
E. Antonello
Keyword(s):  
Regression Analysis ◽  
Statistical Method ◽  
Stepwise Regression ◽  
Class Ii ◽  
Stepwise Regression Analysis ◽  
Class V ◽  
Luminosity Class ◽  
Multiple Stepwise Regression Analysis ◽  
Comparison Of The Results ◽  
Hr Diagram

Calibrations of the uvby, β photometric systems have been made by Crawford (1975, 1978, 1979) for F, B and late A-type stars of luminosity class V-III; the calibration for early A-type stars has been made by Hilditch et al. (1983). One of the remaining areas of the HR diagram to be calibrated is that of the bright giant to supergiant region (luminosity class II-I). We have attempted to obtain a calibration in terms of luminosity for supergiant F-type stars. To this end we have used the statistical method of multiple stepwise regression analysis. Before doing the calibration for supergiants, we show the usefulness of this method by a comparison of the results obtained for dwarf F-type stars with the previous calibration given by Crawford (1975).

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