scholarly journals DETERMINATION OF STATISTICAL CHARACTERISTICS OF STEEL MILL'S ELECTRICAL MOTORS BY THE REGRESSION ANALYSIS

1979 ◽  
Author(s):  
Ι. ΚΥΠΑΡΙΣΣΗΣ
Keyword(s):  
Regression Analysis ◽  
Statistical Characteristics ◽  
Electrical Motors

scholarly journals Modeling Population Spatial-Temporal Distribution Using Taxis Origin and Destination Data

2021 ◽  
Vol 13 (7) ◽  
pp. 3727
Author(s):  
Fatema Rahimi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Mostafa Ghodousi ◽  
Soo-Mi Choi
Keyword(s):  
Regression Analysis ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Temporal Distribution ◽  
Coefficient Of Determination ◽  
Temporal Modeling ◽  
Location Data ◽  
Time Period ◽  
Proposed Model

During dangerous circumstances, knowledge about population distribution is essential for urban infrastructure architecture, policy-making, and urban planning with the best Spatial-temporal resolution. The spatial-temporal modeling of the population distribution of the case study was investigated in the present study. In this regard, the number of generated trips and absorbed trips using the taxis pick-up and drop-off location data was calculated first, and the census population was then allocated to each neighborhood. Finally, the Spatial-temporal distribution of the population was calculated using the developed model. In order to evaluate the model, a regression analysis between the census population and the predicted population for the time period between 21:00 to 23:00 was used. Based on the calculation of the number of generated and the absorbed trips, it showed a different spatial distribution for different hours in one day. The spatial pattern of the population distribution during the day was different from the population distribution during the night. The coefficient of determination of the regression analysis for the model (R2) was 0.9998, and the mean squared error was 10.78. The regression analysis showed that the model works well for the nighttime population at the neighborhood level, so the proposed model will be suitable for the day time population.

scholarly journals Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Metals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Rahel Jedamski ◽  
Jérémy Epp
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Regression Analysis ◽  
Artificial Neural Networks ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Case Hardening ◽  
Artificial Neural ◽  
Non Destructive

Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration.

PENGARUH BUDAYA KERJA, KEPEMIMPINAN, DISIPLIN KERJA DAN KOMPENSASI TERHADAP KINERJA KARYAWAN PT. KAI DAOP 5 PURWOKERTO

2017 ◽  
Vol 3 (1) ◽  
pp. 87-100
Author(s):  
Karsono , ◽  
Denok Kurniasih ◽  
Dyah Retna Puspita
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Sample Size ◽  
Multiple Regression Analysis ◽  
Compensation Effect ◽  
Employee Performance ◽  
Primary Data ◽  
Work Culture ◽  
Study Population

Abstract: Employee performance is very important for an organization to achieve its goals. This study aims to analyze the influence of work culture, on employee performance, leadership on employee performance, work discipline on employee performance, compensation on employee performance and work culture, leadership, work discipline, compensation on employee performance at PT. KAI Daop 5 Purwokerto. The study population is all employees of PT. KAI Daop 5 Purwokerto as many as 623 employees. Determination of sample size with Slovin formula obtained by 86 respondents. The data used is the primary data obtained from the questionnaires distributed to respondents.Tehnik data analysis used is a quantitative approach. The data of the research were analyzed using multiple regression analysis. The results showed that: Work culture affect the performance of employees means that if the work culture increases then the performance of employees will increase. Leadership affects the performance of employees means that if the existing leadership is conducive to work then the performance of employees will increase, work discipline does not affect the performance of employees means employees who discipline work high and employees who work discipline less have the same performance height, Compensation effect on the performance of meaning if the compensation increases then employee performance will increase, work culture, leadership, work discipline and compensation together affect the employee's performance, meaning that if work culture, leadership, work discipline and compensation together increase the employee performance will increase. Keywords: Working Culture, Leadership, Work Discipline, Compensation, Employee Performance. Abstrak: Kinerja pegawai merupakan hal yang sangat penting bagi organisasi untuk mencapai tujuannya. Penelitian ini bertujuan untuk menganalisis pengaruh budaya kerja, terhadap kinerja pegawai, kepemimpinan terhadap kinerja pegawai, disiplin kerja terhadap kinerja pegawai, kompensasi terhadap kinerja pegawai dan budaya kerja, kepemimpinan, disiplin kerja, kompensasi terhadap kinerja pegawai di PT. KAI Daop 5 Purwokerto. Populasi penelitian adalah semua karyawan PT. KAI Daop 5 Purwokerto sebanyak 623 orang karyawan. Penentuan ukuran sampel dengan rumus Slovin diperoleh sampel sebanyak 86 responden. Data yang digunakan adalah data primer yang diperoleh dari kuisioner yang dibagikan kepada responden.Tehnik analisis data yang digunakan adalah pendekatan kuantitatif. Data hasil penelitian dianalisis menggunakan analisis regresi berganda. Hasil penelitian menunjukkan bahwa: Budaya kerja berpengaruh terhadap kinerja pegawai artinya apabila budaya kerja meningkat maka kinerja karyawan akan meningkat. Kepemimpinan berpengaruh terhadap kinerja pegawai artinya apabila kepemimpinan yang ada sangat kondusif untuk bekerja maka kinerja karyawan akan meningkat, Disiplin kerja tidak berpengaruh terhadap kinerja pegawai artinya pegawai yang disiplin kerjanya tinggi dan pegawai yang disiplin kerjanya kurang memiliki kinerja yang sama tingginya, Kompensasi berpengaruh terhadap kinerja artinya apabila kompensasi meningkat maka kinerja karyawan akan meningkat, Budaya kerja, kepemimpinan, disiplin kerja dan kompensasi secara bersama-sama berpengaruh terhadap kinerja pegawai, artinya apabila budaya kerja, kepemimpinan, disiplin kerja dan kompensasi  secara bersama-sama mengalami peningkatan maka kinerja karyawan akan meningkat. Kata Kunci:  Budaya Kerja, Kepemimpinan, Disiplin Kerja, Kompensasi, Kinerja   Pegawai.

Estimation of the reliability of determination of filtering parameters of productive formations using multi-dimensional regression analysis

2021 ◽  
pp. 50-59
Author(s):  
D.A. Martyushev ◽  
◽  
I.N. Ponomareva ◽  
V.I. Galkin ◽  
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression Analysis ◽  
Oil Fields ◽  
Technological Parameters ◽  
Recovery Method ◽  
Statistical Estimates ◽  
Production Analysis ◽  
Perm Krai ◽  
Pressure Stabilization

Determination of reliable values of filtration parameters of productive strata is the most important task of monitoring the processes of developing reserves. One of the most effective methods for solving the problem is hydrodynamic testing of wells using the pressure recovery method, as well as modern methods - the pressure stabilization method and the method based on production analysis (Decline Analyze). This article is devoted to the assessment of the reliability of these three methods in determining the filtration parameters of terrigenous and carbonate productive deposits of oil fields in the Perm Krai. To solve the problem, multivariate regression analysis was used. A series of multidimensional mathematical models of well flow rates was built using filtration parameters determined for each of the methods. It is proposed to consider the filtration parameters included in the models with the maximum statistical estimates of performance as the most reliable. With regard to the fields under consideration, it was found that in terrigenous reservoirs, all three methods demonstrate stable results. In carbonate reservoirs, reliable values of filtration parameters are determined by processing pressure build-up curves. Pressure stabilization and production analysis methods show less robust results and require additional research in order to develop sound recommendations for their practical application. Keywords: permeability; skin factor; pressure stabilization curve; decline analyze; liquid flow rate; geological and technological parameters; oil deposit; carbonate deposits.

Solidification Process, Microstructure, Density and Hardness of the Mg-Al Alloys with Zn, Cu, Ni and AlTiB Additions

2011 ◽  
Vol 176 ◽  
pp. 91-98
Author(s):  
Franciszek Binczyk
Keyword(s):  
Thermal Analysis ◽  
Regression Analysis ◽  
Operating Temperature ◽  
Solidification Process ◽  
Al Alloys ◽  
Pouring Temperature ◽  
Significance Level ◽  
Solidification Parameters ◽  
Microstructure Density

The paper presents the results of the investigations of the solidification process of magnesium alloys containing 5 and 10 wt.% Al, the additions of Zn, Cu, Ni, and of an AlTiB master alloy. The plotted DTA (derivative thermal analysis) curves were used for the determination of solidification parameters Tliq, Teut and Tsol. Knowledge of these parameters is very important in determination of alloy pouring temperature and maximum casting operating temperature. On samples taken from the area of temperature measurements, the chemical composition and microstructure were determined. The density and hardness HB were measured as well. Applying the method of multiple regression analysis at the significance level α = 0.1, the intensity and direction of the effect of alloying elements on the solidification parameters, density and hardness HB of castings were evaluated.

scholarly journals Reputasi Auditor sebagai Pemoderasi Pengaruh Opini Audit dan Pergantian Manajemen pada Auditor Switching

2020 ◽  
Vol 30 (10) ◽  
pp. 2456
Author(s):  
Nyoman Ratna Candradewi ◽  
Gayatri Gayatri
Keyword(s):  
Regression Analysis ◽  
Sampling Method ◽  
Significant Positive Effect ◽  
Audit Opinion ◽  
Management Change ◽  
Analysis Techniques ◽  
Opinion Change ◽  
Auditor Switching ◽  
Positive Effect

Auditor turnover is a behavior that the client company does to transfer the auditor. This reaserch aims to obtain empirical evidence of the effect of audit opinion and management change on auditor switching and how the auditor's reputation is able to moderate the influence of audit opinion and management change on auditor switching. Determination of the research sample using purposive sampling method with a sample of 145 companies. Data analysis techniques used are logistic regression analysis and Moderated Regression Analysis (MRA). Based on the results of this study indicate that audit opinion and management change have a significant positive effect on auditor switching. However, the auditor's reputation is unable to moderate the effect of audit opinion and management change on auditor switching. Keywords: Audit Opinion; Change of Management; Auditor Switching; Auditor’s Reputation.

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 Consciousness, Religiosity and Locus of Control as Predictors of Well-Being among Young Adolescents

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Shaktiyanshi Raundeley ◽  
Dr. Preet Kumari
Keyword(s):  
Regression Analysis ◽  
Locus Of Control ◽  
Regression Coefficient ◽  
Well Being ◽  
Young Adolescents ◽  
Criterion Variable ◽  
Control Scale ◽  
Age Range ◽  
Negligible Contribution

The main aim of present study was to examine the relationships between well-being, Religiosity, A study was made on convenient sample of 50 young adolescents (females) age range of 18 to 22 years and used 4 tools (i) Well-being scale (Edinburgh, 2006) (ii) Religiosity scale (Bhusan,1970) (iii) Consciousness scale (Brazdau,2009) (iv)Locus of control scale (Rotter,1966). Co relational design was used. Results indicate that Well-being and Religious scores are positively correlated (r=0.31, p<0.05). There is also high positive co relational between well-being and consciousness scores (r=0.42, p<0.01). Thus increases in consciousness and religious scores led to increase in well=being scores among young adolescents. Multiple regression analysis was also used (R=0.46) and it showed that Consciousness has highest contribution in determination of criterion variable i.e. well-being, the regression coefficient being 0.15. Religiosity has less contribution and locus of control has negligible contribution, the regression coefficient being 0.05 and 0.003 respectively.

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