scholarly journals Robust Multiple Regression

Entropy ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. 88
Author(s):  
David W. Scott ◽  
Zhipeng Wang
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Sample Sizes ◽  
Robust Algorithms ◽  
Process Diagnostics ◽  
Classical Statistics ◽  
Bad Data ◽  
Selection Of

As modern data analysis pushes the boundaries of classical statistics, it is timely to reexamine alternate approaches to dealing with outliers in multiple regression. As sample sizes and the number of predictors increase, interactive methodology becomes less effective. Likewise, with limited understanding of the underlying contamination process, diagnostics are likely to fail as well. In this article, we advocate for a non-likelihood procedure that attempts to quantify the fraction of bad data as a part of the estimation step. These ideas also allow for the selection of important predictors under some assumptions. As there are many robust algorithms available, running several and looking for interesting differences is a sensible strategy for understanding the nature of the outliers.

scholarly journals PENGARUH PENGALAMAN AUDITOR, SKEPTISISME PROFESIONAL DAN TEKANAN WAKTU TERHADAP PENDETEKSIAN KECURANGAN DI PERWAKILAN BPKP PROVINSI BENGKULU

2021 ◽  
Vol 9 (1) ◽  
pp. 45
Author(s):  
Lismawati Lismawati ◽  
Novita Sari ◽  
Mifta Ismalia
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Audit Quality ◽  
Quantitative Approach ◽  
Purposive Sampling ◽  
Data Analysis Technique ◽  
Analysis Technique ◽  
Selection Of

This study aims to prove the influence of the auditor's competence, professionalism and ethics on audit quality. This study uses a quantitative approach. Respondents in this study were all auditors in the Bengkulu Province Inspectorate as many as 45 respondents.. The selection of samples tested in this study using purposive sampling. The data analysis technique uses multiple regression analysis.The results of this study indicate that competence affects audit quality. Professionalism also has an effect on audit quality. Auditor ethics also proved to influence audit quality.  

EFFECTIVENESS OF TYPES OF MULTIPLE REGRESSION MODELS IN STATISTICAL DATA ANALYSIS OF GEAR PUMP PARAMETERS

2011 ◽  
Vol 161 (3) ◽  
pp. 292-303
Author(s):  
Rafał ŁUSZCZYNA ◽  
Marian PARTYKA
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Statistical Data ◽  
Multiplicative Model ◽  
Gear Pump ◽  
Statistical Data Analysis ◽  
Regression Residuals ◽  
Multiple Regression Models ◽  
The Relationship ◽  
Selection Of

The paper compares the effectiveness of the selection of the additive and multiplicative model for the statistical data analysis of gear pump parameters. On the basis of the analysis of regression residuals , it shows the relationship between the additive and multiplicative method of data mining. Based on the final results, the authors prove the equality of the additive and multiplicative model of multiple regression from the viewpoint of the selection of various independent variables.

Bridging the Gap between Quantitative and Qualitative Historical Research: an application of multiple regression analysis and homogeneity analysis with alternating least squares

1996 ◽  
Vol 8 (3) ◽  
pp. 133-144 ◽  
Author(s):  
María del Mar del Pozo Andrés ◽  
Jacques F A Braster
Keyword(s):  
Least Squares ◽  
Multiple Regression ◽  
Historical Research ◽  
Alternating Least Squares ◽  
Categorical Variables ◽  
Two Dimensional ◽  
Homogeneity Analysis ◽  
Regression Approach ◽  
Dimensional Picture ◽  
Selection Of

In this article we propose two research techniques that can bridge the gap between quantitative and qualitative historical research. These are: (1) a multiple regression approach that gives information about general patterns between numerical variables and the selection of outliers for qualitative analysis; (2) a homogeneity analysis with alternating least squares that results in a two-dimensional picture in which the relationships between categorical variables are graphically presented.

Failure Analysis Enhancement by Incorporating a Compact Scan Diagnosis System

2014 ◽  
Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Failure Analysis ◽  
Real Analysis ◽  
Failure Data ◽  
Analysis Methodology ◽  
Efficiency And Effectiveness ◽  
Scan Chain ◽  
On Chip ◽  
Analysis Environment ◽  
Selection Of

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

PENGARUH KEPEMIMPINAN DAN KOMPETENSI TERHADAP KINERJA ORGANISASI PT. SAMICK INDONESIA

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Donny Dharmawan, MM. ◽  
Erfan Esnawan
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Organizational Performance ◽  
Multiple Regression ◽  
Significant Influence ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Validity And Reliability ◽  
Data Analysis Technique ◽  
Analysis Technique

<em><span lang="EN-US">This study aims to determine the magnitude of the influence of leadership and competence on the organizational performance of PT. Samick Indonesia. This study uses Simple Random Sampling. The population in this study were employees of PT. Samick Indonesia. With 156 samples. Data collection techniques using questionnaires which then have been tested for validity and reliability. The data analysis technique used to answer the hypothesis is multiple regression. The results of this study indicate that, Leadership is able to improve Organizational Performance. Competence is able to improve organizational performance thus it can be concluded that leadership and competence have a positive and significant influence on the organizational performance of PT. Samick Indonesia.</span></em>

PENGARUH TRUST, PRICE DAN SERVICE QUALITY TERHADAP INTENTION TO PURCHASE PELANGGAN BHINNEKA.COM

2017 ◽  
Vol 2 (3) ◽  
pp. 391-400
Author(s):  
Rianto Nurcahyo ◽  
Dennis Andry ◽  
Kevin Kevin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Service Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Positive Influence ◽  
Quantitative Approach ◽  
Analysis Method ◽  
Intention To Purchase ◽  
Trust Intention

The purpose of this study is to identify and understand the factors that can influence the intention to purchase through trust, price, and service quality on consumers Bhinneka.com. This research uses quantitative approach by distributing questionnaires to 100 respondents Bhinneka.com. Data analysis method used in this research is simple and multiple regression analysis. The result shows that the three variables used have a positive influence on intention to purchase variable. The most dominant variables in explaining the variation of intention to purchase are service quality variable of 35.5%, the price of 17.2%, and trust of 24.6%. Keywords: service quality, price, trust, intention to purchase

scholarly journals Supporting Physiological Trait for Indirect Selection for Grain Yield in Drought-Stressed Popcorn

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1510
Author(s):  
Samuel Henrique Kamphorst ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Antônio Teixeira do Amaral Júnior ◽  
Valter Jário de Lima ◽  
Kátia Fabiane Medeiros Schmitt ◽  
...  
Keyword(s):  
Grain Yield ◽  
Multiple Regression ◽  
Morphological Traits ◽  
Vegetation Index ◽  
Agronomic Traits ◽  
Indirect Selection ◽  
Leaf Angle ◽  
Water Restriction ◽  
Leaf Greenness ◽  
Selection Of

The identification of traits associated with drought tolerance in popcorn is a contribution to support selection of superior plants under soil water deficit. The objective of this study was to choose morphological traits and the leaf greenness index, measured on different dates, to estimate grain yield (GY) and popping expansion (PE), evaluated in a set of 20 popcorn lines with different genealogies, estimated by multiple regression models. The variables were divided into three groups: morpho-agronomic traits—100-grain weight (GW), prolificacy (PR), tassel length (TL), number of tassel branches, anthesis-silking interval, leaf angle (FA) and leaf rolling (FB); variables related to the intensity of leaf greenness during the grain-filling period, at the leaf level, measured by a portable chlorophyll meter (SPAD) and at the canopy level, calculated as the normalized difference vegetation index (NDVI). The inbred lines were cultivated under two water conditions: well-watered (WW), maintained at field capacity, and water stress (WS), for which irrigation was stopped before male flowering. The traits GY (55%) and PE (28%) were most affected by water restriction. Among the morpho-agronomic traits, GW and PR were markedly reduced (>10%). Under dry conditions, the FA in relation to the plant stalk tended to be wider, the FB curvature greater and leaf senescence accelerated (>15% at 22 days after male flowering). The use of multiple regression for the selection of predictive traits proved to be a useful tool for the identification of groups of adequate traits to efficiently predict the economically most important features of popcorn (GY and PE). The SPAD index measured 17 days after male flowering proved useful to select indirectly for GY, while, among the morphological traits, TL stood out for the same purpose. Of all traits, PR was most strongly related with PE under WS, indicating its use in breeding programs. The exploitation of these traits by indirect selection is expected to induce increments in GY and PE.

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

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