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Development of pricing assessment methodology for used vehicles in Bangladesh's automotive industry utilizing Delphi technique, analytic hierarchy process, and linear regression analysis

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JOURNAL OF REVENUE AND PRICING MANAGEMENT 2025年 1-24页

作者： Hossain, Md. Rasfeq Rayhan, Dewan Sabbir Ahammed Bhuiyan, Iftekhar Uddin Bangladesh Univ Engn & Technol BUET Inst Appropriate Technol IAT Dhaka Bangladesh Kazi Farms Ltd Transport Div Dhaka Bangladesh Natl Inst Text Engn & Res NITER Dept Ind & Prod Engn IPE Dhaka Bangladesh

The used vehicle business segment of Bangladesh's automotive industry is expanding tremendously though this business faces significant challenges due to the absence of a justified pricing methodology. Traditionally, financial entities like banks and insurance companies often rely on a generic approach, applying a flat depreciation rate of 15% for assessing the price of used vehicles, disregarding the vehicle's technical conditions. This study aimed to resolve this problem by introducing a comprehensive pricing assessment methodology that evaluates the technical conditions of the used vehicle and provides a fair price for the vehicle so that both the buyers and sellers are in a win-win situation. This study integrated the market surveys, the Delphi technique, the Analytical Hierarchy Process (AHP), and linear regression analysis to develop a more equitable and comprehensive pricing mechanism for used vehicles named as 'Pricing Chart'. The market survey was conducted through a meticulously designed questionnaire targeting current buyers and sellers of the used vehicle market. The survey, conducted in two phases, had a sample size of a hundred participants, determined through a sample size formula. The survey identified forty-three (43) pivotal factors that customers want while negotiating the price of a used vehicle. The most influential pivotal factors were the performance of the transmission (98% of respondents), vehicle brand (96%), and spare availability (95%). Moreover, the SWOT analysis based on the survey identified that the lack of technical assessment facilities, the absence of a recognized body, and the lack of structured pricing methods were the major weaknesses of the used vehicle market. Further, the Delphi technique elucidated 28 influential decision factors from the 43 pivotal factors, among them vehicle age, technical soundness, overall appearance, brand, and after-sales performance stand as the most critical factors. These factors were then prioritize

关键词： Bangladesh automotive industry Used vehicle assessment and pricing SWOT analysis Delphi technique Analytical hierarchy process (AHP) linear regression analysis

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linear regression analysis of properties related to moisture management using cotton-polyester knitted fabrics

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TEXTILE RESEARCH JOURNAL 2024年第15-16期94卷 1737-1751页

作者： Asfand, Norina Petraitiene, Stase Daukantiene, Virginija Kaunas Univ Technol Studentu Str 56 LT-51424 Kaunas Lithuania

The complex evaluation of thermo-physiological comfort for a particular garment is still challenging, as it depends on the different structural parameters and individual properties of textiles. Measurement of relevant fabric characteristics requires very specific laboratory equipment, such as an M 290 moisture management tester (SDL ATLAS) or similar. For this reason, it is obvious that there is a great demand to predict the overall moisture management capability (OMMC) based on the individual properties that are responsible for clothing comfort and testing according to different standards rather than OMMC-specific calculation using the M 290 tester. Therefore, in this research, linear regression analysis was performed using MATLAB software to predict the OMMC for cotton-polyester fabrics knitted in two patterns, namely 1 x 1 rib and half-Milano rib, using four percentages of fibers. Water vapor permeability, water vapor resistance, water absorption capacity, water absorption time, and air permeability were used as input variables for linear regression analysis to predict the OMMC of fabrics. The performed analysis has shown that the OMMC is directly dependent on the relative water vapor permeability and air permeability, and the linear regression equation suggested in this research can predict the suitability of a textile for a particular garment concerning its moisture management behavior.

关键词： Moisture management linear regression analysis knitted fabric antistatic polyester 1 x 1 rib half-Milano

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linear regression analysis of a Small Sample of Fuzzy Input Data

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JOURNAL OF AUTOMATION AND INFORMATION SCIENCES 2012年第7期44卷 34-48页

作者： Seraya, O. V. Demin, D. A. Natl Tech Univ Inst Kharkov Polytech Kharkov Ukraine

The problem of estimating the parameters of the regression equation for a small sample of the initial data, where the conditions of observation are fuzzy, is considered. The technology of artificial orthogonalization of the results of a passive experiment is proposed, based on the integrated use of fuzzy clustering and the developed method of solving the fuzzy systems of linear algebraic equations.

关键词： linear regression analysis small sample fuzzy input data artificial orthogonalization fuzzy clustering

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linear regression analysis for factors influencing displacement of high-filled embankment slopes

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GEOMECHANICS AND ENGINEERING 2015年第4期8卷 511-521页

作者： Zhang, Guangcheng Tan, Jiansong Zhang, Lu Xiang, Yong China Univ Geosci Dept Engn Wuhan 430074 Peoples R China CCCC Second Highway Consultants Co LTD Wuhan Peoples R China

It is a common failure type that high-filled embankment slope sideslips. The deformation mechanism and factors influencing the sideslip of embankment slope is the key to reduce the probability of this kind of engineering disaster. Taking Liujiawan high-filled embankment slope as an example, the deformation and failure characteristics of embankment slope and sheet-pile wall are studied, and the factors influencing instability are analyzed, then the correlation of deformation rate of the anti-slide plies and each factor is calculated with multivariate linear regression analysis. The result shows that: (1) The length of anchoring segment is not long enough, and displacement direction of embankment and retaining structure are perpendicular to the trend of the highway;(2) The length of the cantilever segment is so large that the active earth pressures behind the piles are very large. Additionally, the surface drainage is not smooth, which leads to form a potential sliding zone between bottom of the backfill and the primary surface;(3) The thickness of the backfill and the length of the anti-slide pile cantilever segment have positive correlation with the deformation whereas the thickness of anti-slide pile through mudstone has a negative correlation with the deformation. On the other hand the surface water is a little disadvantage on the embankment stability.

关键词： Liujiawan sheet-pile wall high-filled embankment slope linear regression analysis

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linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data

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COMPUTATIONAL STATISTICS & DATA analysis 2003年第1-2期42卷 47-72页

作者： D'Urso, P Univ Roma La Sapienza Dipartimento Sat Probabil & Stat Applicate I-00185 Rome Italy

In order to estimate fuzzy regression models, possibilistic and least-squares procedures can be considered. By taking into account a least-squares approach, regression models with crisp or fuzzy inputs and crisp or fuzzy output are suggested. In particular, for these fuzzy regression models, unconstrained and constrained (with inequality restrictions) least-squares estimation procedures are developed. Furthermore, for the various models presented, explanatory examples are shown and some concluding remarks are also included. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： fuzzy/crisp input data fuzzy/crisp output data linear regression analysis unconstrained and constrained least-squares estimates

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linear regression analysis with inequality constraints on the regression parameters via empirical likelihood

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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2015年第9期85卷 1782-1792页

作者： Zheng, Ming Yu, Wen Fudan Univ Sch Management Dept Stat Shanghai 200433 Peoples R China

An empirical likelihood ratio test is developed for testing for or against inequality constraints on regression parameters in linear regression analysis. The proposed approach imposes no parametric model nor identically distributing assumption on the random errors. The asymptotic distribution of the proposed test statistic under null hypothesis is shown to be of chi-bar-squared type. The asymptotic power under contiguous alternatives is also briefly discussed. Moreover, an adjusted empirical likelihood method is adopted to improve the small sample size behaviour of the proposed test. Several simulation studies are carried out to assess the finite sample performance of the proposed tests. The results reveal that the proposed tests could be valuable for improving inference efficiency. A real-life example is discussed to illustrate the theoretical results.

关键词： empirical likelihood linear regression analysis inequality constraints chi-bar-squared distribution 62E20 62J05

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linear regression analysis of Energy Consumption Data for Smart Homes 41

Linear Regression Analysis of Energy Consumption Data for Sm...

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41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

作者： Moletsane, Phenyo Phemelo Motlhamme, Tebogo Judith Malekian, Reza Bogatmoska, Dijana Capeska Univ Pretoria MIT C Stream Data Sci Dept Comp Sci ZA-0002 Pretoria South Africa Univ Pretoria Dept Elect Elect & Comp Engn ZA-0002 Pretoria South Africa Univ Informat Sci & Technol St Paul Apostle Dept Comp Sci & Engn Ohrid North Macedonia

ISBN: (纸本)9789532330953

Due to the population and economic growth, global demand for energy is expected to increase considerably in the coming years. A large part of the energy demand comes from energy use in buildings. Consequently, energy efficiency requirement in buildings is considered to be one of the most important goals to promote global energy sustainability. This challenge has motivated recent research in the design of smart home energy management systems based on a set of sensors that analyse how energy is consumed in buildings. In this paper, linear regression model is used to analyse energy consumption data from two real smart homes. The datasets include operational data in two homes and were collected as part of the Smart* project.

关键词： Smart homes linear regression analysis energy efficiency

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linear regression analysis OF INDICES DESCRIBING LATVIAN WOOD PROCESSING INDUSTRY

LINEAR REGRESSION ANALYSIS OF INDICES DESCRIBING LATVIAN WOO...

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19th Annual International Scientific Conference on Research for Rural Development

作者： Krumins, Janis Smits, Ingus Dagis, Salvis Dubrovskis, Dagnis Arhipova, Irina Latvia Univ Agr Jelgava Latvia

To forecast how different indices describing Latvian forest industry will develop in the future, the decision support program which is based on the research of supply chains and production processes as well as on systematic analysis of the whole industry should be developed. One of the most common types of analysis is modelling of processes. In this paper processes of forestry and wood processing in Latvia are modelled by using general approach for system modelling, and each process is described as an abstract system where only its input and output values were identified. Correlations of input and output value time series with a simple and multiple regression analysis method were analyzed. regression analysis was created for 77 pairs of indices which theoretically could have significant correlations. Input and output factor linear regression analysis for set of processes Forestry and Wood processing shows that not always there is significant correlation between time series of chosen model factors. Some of correlations between time series of input and output data in the model of forest sector even showed controversial results. The amount of information about processes and their quantitative indicators in Latvian wood processing industry is not sufficient for development of precise simulation models. There is need to develop a list of criteria for missing information and carry out its collection process.

关键词： forest sector modelling Latvian forest industry linear regression analysis

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Determination of DPPH radical oxidation caused by methanolic extracts of some microalgal species by linear regression analysis of spectrophotometric measurements

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SENSORS 2007年第10期7卷 2080-2095页

作者： Marxen, Kai Vanselow, Klaus Heinrich Lippemeier, Sebastian Hintze, Ralf Ruser, Andreas Hansen, Ulf-Peter Univ Kiel Forsch & Technologiezentrum Westkuste D-25761 Busum Germany BlueBioTech GmbH D-25761 Busum Germany Univ Kiel Zentrum Biochem & Molekularbiol D-24098 Kiel Germany

The demonstrated modified spectrophotometric method makes use of the 2,2diphenyl-1-picrylhydrazyl (DPPH) radical and its specific absorbance properties. The absorbance decreases when the radical is reduced by antioxidants. In contrast to other investigations, the absorbance was measured at a wavelength of 550 nm. This wavelength enabled the measurements of the stable free DPPH radical without interference from microalgal pigments. This approach was applied to methanolic microalgae extracts for two different DPPH concentrations. The changes in absorbance measured vs. the concentration of the methanolic extract resulted in curves with a linear decrease ending in a saturation region. linear regression analysis of the linear part of DPPH reduction versus extract concentration enabled the determination of the microalgae's methanolic extracts antioxidative potentials which was independent to the employed DPPH concentrations. The resulting slopes showed significant differences (6-34 mol DPPH g(-1) extract concentration) between the single different species of microalgae (Anabaena sp., Isochrysis galbana, Phaeodactylum tricornutum, Porphyridium purpureum, Synechocystis sp. PCC6803) in their ability to reduce the DPPH radical. The independency of the signal on the DPPH concentration is a valuable advantage over the determination of the EC50 value.

关键词： absorbance decrease antioxidative potential microalgae radical scavenging linear regression analysis spectrophotometric approach

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Representation of the concentric spherical powder reaction model in the form of linear regression analysis

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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 1998年第1期76卷 69-75页

作者： Shimizu, A Hao, YJ Tanaka, T Hokkaido Univ Grad Sch Engn Div Engn & Mat Sci Kita Ku Sapporo Hokkaido 060 Japan

To perform the linear regression analysis of the powder reaction rate, some kinetic equations are derived on the basis of the Hao and Tanaka's concentric spherical model (Intern. Chem. Eng. 30, 244 (1990) and Can. J. Chem. Eng. 68, 81 (1990)) assuming monodisperse particles. The applicability of the kinetic equations is examined by using the experimental data of both counterdiffusion system and uni-directional diffusion system. This linear regression analysis enables us to decide rapidly about the suitability of the model, to predict the diffusion mode and to determine the diffusivity.

关键词： powder reaction rate concentric spherical model linear regression analysis

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