A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression

Simple and multiple linear regression analyses are statistical methods used to investigate the link between activity/property of active compounds and the structural chemical features. One assumption of the linear regression is that the errors follow a normal distribution. This paper introduced a new approach to solving the simple linear regression in which no assumptions about the distribution of the errors are made. The proposed approach maximizes the probability of observing the event according to the random error. The use of the proposed approach is illustrated in ten classes of compounds with different activities or properties. The proposed method proved reliable and was showed to fit properly the observed data compared to the convenient approach of normal distribution of the errors.

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Influence of crate size, oviposition time, number of adults and cannibalism on the reproduction of Tenebrio molitor

Journal of Insects as Food and Feed ◽

10.3920/jiff2019.0018 ◽

2019 ◽

Vol 5 (4) ◽

pp. 247-255 ◽

Cited By ~ 3

Author(s):

D. Deruytter ◽

C.L. Coudron ◽

S. Teerlinck

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Factorial Design ◽

Surface Area ◽

Predictive Power ◽

A Priori ◽

Density Effect ◽

Final Number ◽

Minimal Loss ◽

Full Factorial

In an industrialised mealworm farm it is important to maximise the production and to know the number of mealworms in each container as early as possible in a fast and reliable way. Two experiments were performed. The first experiment assessed the influence of the number of beetles, crate surface area and oviposition time on the number produced mealworms. A full factorial design was used with 11 beetle densities (between 2.3-300 mg beetles/cm2), 5 oviposition times (from 1-14 days) and 4 different crate sizes (between 250-2,000 cm2). In the second experiment, the influence of cannibalism on the number of produced mealworms was assessed via an alternative oviposition method that prohibited cannibalism. Multiple linear regression was used to model the results. The results indicate that the number of beetles, oviposition time and surface area could predict the number of produced mealworms well. An increase in one of the three parameters increased the number of produced mealworms without reaching an optimum. Furthermore, the number of beetles and the oviposition time can be combined in one parameter, beetledays with minimal loss of predictive power of the model. Nevertheless, the number of produced mealworms per female did decline rapidly with increasing oviposition time and density. The latter is, at least in part, due to cannibalism, as the second experiment indicates that the density effect is almost eliminated when the beetles are unable to reach their eggs. In conclusion, this study indicates that it is possible to construct a formula that can be used to a priori determine the final number of produced mealworms based on the number of beetles, surface area and oviposition time and that cannibalism can greatly reduce the number of produced mealworms. Reducing cannibalism can greatly increase the efficiency and therefore production of a mealworm farm.

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A93 VOLUME OF EMR EXPOSURE IN TRAINING IS CORRELATED WITH POLYPECTOMY COGNITIVE COMPETENCE AMONGST RECENT GASTROENTEROLOGY GRADUATES

Journal of the Canadian Association of Gastroenterology ◽

10.1093/jcag/gwab002.091 ◽

2021 ◽

Vol 4 (Supplement_1) ◽

pp. 66-67

Author(s):

T Jeyalingam ◽

C M Walsh ◽

S C Grover ◽

S Heitman ◽

J Mosko

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Online Survey ◽

Assessment Tool ◽

A Priori ◽

Cognitive Competence ◽

Independent Practice ◽

Incomplete Resection ◽

Colonoscopy Quality ◽

Quiz Score

Abstract Background Competence in performing polypectomy is increasingly appreciated as a colonoscopy quality metric, as incomplete resection can lead to post-colonoscopy colorectal cancer, particularly for polyps removed using piecemeal endoscopic mucosal resection (EMR). The relationship between training experiences and cognitive competence in polypectomy has not been previously described. Aims We aimed to examine associations between training and assessment experiences, self-reported comfort, and cognitive competence in polypectomy amongst recent graduates of Canadian gastroenterology training programs. Methods An online survey was distributed to recent GI graduates (≤5 years in independent practice). The survey comprised 4 sections: (1) demographics; (2) training and assessment experiences in colonoscopy, polypectomy, and EMR; (3) self-reported comfort in performing aspects of polypectomy outlined in the Direct Observation of Polypectomy Skills Assessment Tool; and (4) performance on a 22-item multiple choice quiz intended to assess cognitive competence in polypectomy (items and correct responses to which were determined a priori based on agreement of two experts). Data was analyzed using descriptive statistics and associations between predictors (demographics, training/assessment experiences, self-reported comfort) and outcomes (quiz score) were assessed using multiple linear regression. Results There were 28 survey respondents, comprising 13 (46%) who trained in advanced endoscopy, 5 (18%) in hepatology, 2 (7%) in motility, 1 (4%) in IBD, 1 (4%) in nutrition, and 6 (21%) with no advanced training. This cohort had a mean (SD) duration in independent practice of 29.0 (18.4) months. Their mean (SD) annual volume of colonoscopy, polypectomy, and EMR in independent practice was 530 (221), 182 (76), 28 (16), respectively and they had completed 525 (203) colonoscopies, 146 (92) polypectomies, and 23 (20) EMRs in their prior training. Their mean (SD) quiz score was 71.9% (13.2%). ANOVA revealed significant score differences based on fellowship history, with those trained in advanced endoscopy achieving the highest scores (81.1%, P=0.01). Multiple linear regression revealed that the number of EMRs completed during training was significantly correlated with quiz performance (B=0.60, P=0.03). Conclusions EMR experience during training appears to be associated with cognitive competence in polypectomy in independent practice. These results suggest increasing exposure to EMR in training may improve polypectomy quality amongst practicing endoscopists. Funding Agencies CAG

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Teaching How to Derive Directly Interpretable Coding Schemes for Multiple Regression Analysis

Journal of Educational Statistics ◽

10.3102/10769986010003223 ◽

1985 ◽

Vol 10 (3) ◽

pp. 223-238 ◽

Cited By ~ 8

Author(s):

Ronald C. Serlin ◽

Joel R. Levin

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

General Procedure ◽

A Priori ◽

Analysis Of Covariance ◽

Qualitative Variable ◽

Coding Schemes ◽

Treatment Interaction ◽

Statistical Results

Multiple linear regression is a versatile model for encompassing analysis of variance, analysis of covariance, and aptitude-by-treatment interaction designs. The question of how to teach the coding of levels of a qualitative variable is addressed in this paper. Although a variety of coding schemes will produce invariant omnibus statistical results for a given set of data, one’s interpretation of treatment effects and treatment differences depends on the particular code values chosen. A general procedure is presented that allows the user to generate, on an a priori basis, code values that result in directly interpretable estimates of interest.

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Criterion-Related Validation and the Multiple Linear Regression Technique

PsycEXTRA Dataset ◽

10.1037/e465522008-033 ◽

1973 ◽

Cited By ~ 1

Author(s):

Steven D. Spaner

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Regression Technique ◽

Linear Regression Technique

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Pengaruh Motivasi Kerja Terhadap Kinerja Pegawai Kantor Sekretariat Daerah Kabupaten Gunungkidul

Kajian Bisnis STIE Widya Wiwaha ◽

10.32477/jkb.v23i2.209 ◽

2017 ◽

Vol 23 (2) ◽

pp. 121-137

Author(s):

Ary Sutrischastini ◽

Agus Riyanto

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Sampling Method ◽

Work Motivation ◽

Probability Sampling ◽

Random Probability

This paper will discuss the effect of work motivation (incentives, motives and expectations) on the performance of the staff of the Regional Secretariat Gunungkidul. The purpose of this paper is: 1) Determine the effect of incentives on the performance of the staff of the Regional Secretariat Gunungkidul, 2) Determine the effect of motive on the performance of the staff of the Regional Secretariat Gunungkidul, 3) To know the effect of expectations on the performance of the staff of the Regional Secretariat Gunungkidul, 4)To know the effect of incentives, motives and expectations on the performance of the staff of the Regional Secretariat Gunungkidul.Research sites in the Regional Secretariat Gunungkidul and the population is 162entire employee in the Regional Secretariat Gunungkidul. Samples amounted to 116 respondents taken with simple random probability sampling method. Data were analyzed using multiple linear regression. Results obtained: (1) incentives positive and significant effect on the performance of, (2) motif positive and significant effect on the performance of, (3) expectations positive and significant impact on the performance of , and (4) incentives, motives and expectations of positive and significant impact on the performance of the staff of the Regional Secretariat Gunungkidul.

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PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen ◽

10.32477/jrm.v6i2.353 ◽

2019 ◽

Vol 6 (2) ◽

pp. 115-130

Author(s):

Eka Ambara Harci Putranta ◽

Lilik Ambarwati

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Capital Adequacy ◽

Annual Reports ◽

Regression Methods ◽

Capital Adequacy Ratio ◽

Negative Effect ◽

Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

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