Log in

Relevant bibliographies by topics / Correlation-regression models / Journal articles

To see the other types of publications on this topic, follow the link: Correlation-regression models.

Journal articles on the topic 'Correlation-regression models'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Correlation-regression models.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

F.E., Gulmurodov. "Forecasting of Tourism Processes in Uzbekistan in Correlation Regression Models." International Journal of Multidisciplinary Research and Analysis 04, no. 11 (2021): 1748–56. https://doi.org/10.47191/ijmra/v4-i11-43.

Full text

Abstract:

The article provides detailed information on the process of developing effective plans for the development of the tourism industry and choosing the optimal one based on them, forecasting the future development of the industry. It also considers the processes of using special computational and arithmetic methods that allow predicting the events and happenings in the tourism industry, to determine the regression function as a result of the interaction and interaction of indicators representing the type of activity. As a result of targeted research, using correlation-regression models, a forecast

APA, Harvard, Vancouver, ISO, and other styles

2

Peng, Jie, Pei Wang, Nengfeng Zhou, and Ji Zhu. "Partial Correlation Estimation by Joint Sparse Regression Models." Journal of the American Statistical Association 104, no. 486 (2009): 735–46. http://dx.doi.org/10.1198/jasa.2009.0126.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Kyriazidou, Ekaterini. "Testing for serial correlation in multivariate regression models." Journal of Econometrics 86, no. 2 (1998): 193–220. http://dx.doi.org/10.1016/s0304-4076(97)00114-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Shkola, Ihor, and Oksana Petraschak. "THE CORRELATION-REGRESSION MODELS USAGE AS A WAY TO INCREASE OF LABOR PRODUCTIVITY." MEST Journal 2, no. 1 (2014): 1–6. http://dx.doi.org/10.12709/mest.02.02.01.01.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Kozyra, Cyprian. "Correlation and regression models in the Dyadic Data Analysis." Śląski Przegląd Statystyczny 18, no. 24 (2020): 263–67. http://dx.doi.org/10.15611/sps.2020.18.17.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Baltagi, Badi H., Seuck Heun Song, and Won Koh. "Testing panel data regression models with spatial error correlation." Journal of Econometrics 117, no. 1 (2003): 123–50. http://dx.doi.org/10.1016/s0304-4076(03)00120-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Jea, Rong, Jin-Lung Lin, and Chao-Ton Su. "Correlation and the time interval in multiple regression models." European Journal of Operational Research 162, no. 2 (2005): 433–41. http://dx.doi.org/10.1016/j.ejor.2003.07.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Anderson, T. W. "Canonical correlation analysis and reduced rank regression in autoregressive models." Annals of Statistics 30, no. 4 (2002): 1134–54. http://dx.doi.org/10.1214/aos/1031689020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Koop, Gary, and Dale J. Poirier. "Learning about the across-regime correlation in switching regression models." Journal of Econometrics 78, no. 2 (1997): 217–27. http://dx.doi.org/10.1016/s0304-4076(96)00009-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Koop, Gary, and Dale J. Poirier. "Learning about the across-regime correlation in switching regression models." Journal of Econometrics 78, no. 1 (1997): 217–27. http://dx.doi.org/10.1016/s0304-4076(97)80011-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Grigalashvili, A. S., L. F. Koksharova, and I. O. Zuyeva. "Application of Correlation Analysis to Exclude Factors from Regression-Differential Models." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 22, no. 1 (2016): 035–44. http://dx.doi.org/10.17277/vestnik.2016.01.pp.035-044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Rayner, Robert K. "Testing for Serial Correlation in Regression Models with Lagged Dependent Variables." Review of Economics and Statistics 75, no. 4 (1993): 716. http://dx.doi.org/10.2307/2110028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Koreisha, Sergio, and Tarmo Pukkila. "Linear Methods for Estimating Arma and Regression Models with Serial Correlation." Communications in Statistics - Simulation and Computation 19, no. 1 (1990): 71–102. http://dx.doi.org/10.1080/03610919008812846.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

PARK, BYEONG U., YOUNG KYUNG LEE, TAE YOON KIM, and CHEOLYONG PARK. "A Simple Estimator of Error Correlation in Non-parametric Regression Models." Scandinavian Journal of Statistics 33, no. 3 (2006): 451–62. http://dx.doi.org/10.1111/j.1467-9469.2006.00506.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Dai, Peng-jie, Qing-zhao Zhang, and Zhi-hua Sun. "Variable selection of generalized regression models based on maximum rank correlation." Acta Mathematicae Applicatae Sinica, English Series 30, no. 3 (2014): 833–44. http://dx.doi.org/10.1007/s10255-014-0424-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Fan, Guoliang, Jie Ji, and Hongxia Xu. "Serial correlation test of parametric regression models with response missing at random." Filomat 38, no. 7 (2024): 2521–35. https://doi.org/10.2298/fil2407521f.

Full text

Abstract:

It is well-known that successive residuals maybe correlated with each other, and serial correlation usually result in an inefficient estimate in time series analysis. In this paper, we investigate the serial correlation test of parametric regression models where the response is missing at random. Three test statistics based on the empirical likelihood method are proposed to test serial correlation. It is proved that three proposed empirical likelihood ratios admit limiting chi-square distribution under the null hypothesis of no serial correlation. The proposed test statistics are simple to cal

APA, Harvard, Vancouver, ISO, and other styles

17

Prishchenko, Olga, Nadezhda Cheremskaya, and Tetyana Chernogor. "CONSTRUCTION OF MATHEMATICAL MODELS USING THE METHODS OF CORRELATION AND REGRESSION ANALYSIS." Bulletin of the National Technical University "KhPI". Series: Innovation researches in students’ scientific work, no. 2 (December 16, 2021): 29–36. http://dx.doi.org/10.20998/2220-4784.2021.02.05.

Full text

Abstract:

The article discusses the construction of a mathematical model using the methods of correlation and regression analysis in determining the functional relationship between the quantities. When conducting an experiment, it is often necessary to establish the interdependence between two or more quantities in order to obtain an empirical formula. In some cases, this is a simple task, because these connections are almost obvious or known in advance. As a rule, to establish the relationship between different indicators, factors and characteristics is not a trivial task. There is a need to use some h

APA, Harvard, Vancouver, ISO, and other styles

18

Ota, Shuhei, and Mitsuhiro Kimura. "A Study on Regression Analysis by Expanded RBF Network Based on Copula with Linear Correlation and Rank Correlation." International Journal of Reliability, Quality and Safety Engineering 22, no. 05 (2015): 1550022. http://dx.doi.org/10.1142/s0218539315500229.

Full text

Abstract:

We extend the traditional RBF network to be a more powerful tool in terms of considering dependence among explanatory variables. For this purpose, we propose two kernel functions of RBF network, i.e., FGM-Gauss kernel and ρ-Gauss kernel based on a copula. A copula is another expression of a joint probability distribution function. After proposing the new models, we compare the regression performances between RBF network with the traditional Gauss kernel, FGM-Gauss kernel, ρ-Gauss kernel, and the multiple linear regression analysis by numerical experimentations. We show that new models have bet

APA, Harvard, Vancouver, ISO, and other styles

19

McGilchrist, C. A. "Regression analysis of dependent error models." Bulletin of the Australian Mathematical Society 34, no. 2 (1986): 199–209. http://dx.doi.org/10.1017/s0004972700010066.

Full text

Abstract:

A method of analysing the general linear regression model is described, for the case where the observations are correlated. For many applications the correlations are structured, with neighbouring observations being more strongly correlated than those some distance apart in time or space. Such correlation structures may often be assumed to belong to some class of models indexed by a small number of parameters. Estimation and inference procedures which are able to cope with a wide range of correlation models, are described and the methods are applied to problems which occur in biometry.

APA, Harvard, Vancouver, ISO, and other styles

20

Čarný, Štefan, and Vladislav Zitrický. "Evaluation of the Impact of International Trade Using Regression and Correlation Models." Transport technic and technology 17, no. 1 (2021): 13–20. http://dx.doi.org/10.2478/ttt-2021-0003.

Full text

Abstract:

Abstract The connection of international economies in the world represents an important role for the development of modern economies of countries. This phenomenon is known as globalization. The article describes in more detail the dependence of the Slovak Republic on the economies of East Asia, where mathematical research was performed on macroeconomic indicators of imports and exports. The Slovak Republic is experiencing an increase in GDP for the entire reference period. The growth of economic indicators in the Slovak Republic is ensured mainly due to the strong integration of our economy in

APA, Harvard, Vancouver, ISO, and other styles

21

Fowler, Robert L. "Confidence intervals for the cross-validated multiple correlation in predictive regression models." Journal of Applied Psychology 71, no. 2 (1986): 318–22. http://dx.doi.org/10.1037/0021-9010.71.2.318.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Jiang, Yibing. "Correlation between obesity and income: A statistical analysis using linear regression models." Theoretical and Natural Science 51, no. 1 (2024): 1–8. http://dx.doi.org/10.54254/2753-8818/51/2024ch0143.

Full text

Abstract:

Abstract. The rate of obesity across the world has seen a steady increase in the past several decades. This disease can lead to significant harm associated with ones body functioning and mental health. The potential causes of obesity incorporate social, environmental, and personal factors. This article attempts to cover the correlation between obesity and income level using a linear regression model. Samples were extracted from the National Health and Nutrition Examination Survey about 545 individuals from 2017 to 2020. The dataset was subdivided into four cohorts, which include non-Hispanic W

APA, Harvard, Vancouver, ISO, and other styles

23

Sen, Monalisa, and Anil K. Bera. "The Improbable Nature of the Implied Correlation Matrix from Spatial Regression Models." Regional Statistics 4, no. 1 (2014): 3–15. http://dx.doi.org/10.15196/rs04101.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Jobst, Lisa J., Daniel W. Heck, and Morten Moshagen. "A comparison of correlation and regression approaches for multinomial processing tree models." Journal of Mathematical Psychology 98 (September 2020): 102400. http://dx.doi.org/10.1016/j.jmp.2020.102400.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Dai, Wenyu. "Predicting insurance charges using linear regression models." Theoretical and Natural Science 51, no. 1 (2024): 51–57. http://dx.doi.org/10.54254/2753-8818/51/2024ch0161.

Full text

Abstract:

Abstract. Linear regression method can be performed to predict the outcome from one or many input values. Its versatility allows it to be applied on many datasets that contain correlated values. However, researches on the application of linear regression on medical insurance costs, a highly important part of peoples life, are few. This paper studies an insurance dataset from Kaggle by applying linear regression on it. The author validates the dataset at first and explores the correlation between each individual factor and their corresponding charges to better show how insurance costs differ fr

APA, Harvard, Vancouver, ISO, and other styles

26

Khubaev, G. "Regression models for forecasting life period of population of administrative-territorial education: construction and evaluation of quality." Bulletin of Science and Practice 4, no. 9 (2018): 206–17. https://doi.org/10.5281/zenodo.1418761.

Full text

Abstract:

The article presents statistically significant regression models (R2corr>0,9; Fcr>>100; response function - life expectancy). The analysis of the abnormal observations in the baseline information has been carried out according to an original approach.  

APA, Harvard, Vancouver, ISO, and other styles

27

Fedir, Geche, Mulesa Oksana, Hrynenko Viktor, and Smolanka Veronika. "Search for impact factor characteristics in construction of linear regression models." Technology audit and production reserves 3, no. 2(47) (2019): 20–25. https://doi.org/10.15587/2312-8372.2019.175020.

Full text

Abstract:

<em>The object of research is the task of constructing a linear regression model that arises in the process of solving the problem of predicting the values of a dependent variable on a set of independent factor characteristics. This task often arises in the process of analyzing indicators of economic activity of enterprises. The process of constructing a regression equation adequately reflects the relationship between factor attributes and the resultant attributes, is a multi-stage and time-consuming procedure. Important in this case is the stage of choosing the most influential factor charact

APA, Harvard, Vancouver, ISO, and other styles

28

Baranovskyi, O., M. Kuzheliev, D. Zherlitsyn, and K. Serdyukov. "CRYPTOCURRENCY MARKET TRENDS AND FUNDAMENTAL ECONOMIC INDICATORS: CORRELATION AND REGRESSION ANALYSIS." Financial and credit activity: problems of theory and practice 3, no. 38 (2021): 249–61. http://dx.doi.org/10.18371/fcaptp.v3i38.237454.

Full text

Abstract:

Abstract. The first cryptocurrency was born in 2008. Already today, virtual financial assets and tokens are a significant part of trading in global financial markets. The cryptocurrency market capitalization currently exceeds 600 billion U.S. dollars. However, there is a lot of discussion about cryptocurrency functions and the correlation between Bitcoin prices and the basic economic indices. Therefore, the purpose of the paper is to define the statistical substantiation of the influence of fundamental economic indicators on the market of virtual financial assets and the possibility of u

APA, Harvard, Vancouver, ISO, and other styles

29

Nizamova, G. Z., and M. M. Gaifullina. "CORRELATION AND REGRESSION ANALYSIS OF THE AUTOMOTIVE GASOLINE MARKET." Bulletin USPTU Science education economy Series economy 3, no. 37 (2021): 35–44. http://dx.doi.org/10.17122/2541-8904-2021-3-37-35-44.

Full text

Abstract:

Purpose of the study: to identify the factors affecting the volume of production of motor gasoline. Research methods: analysis and synthesis, systematic approach, as well as methods of correlation and regression analysis. Results of the research: A methodological approach to the use of tools for correlation and regression analysis of the gasoline market is proposed, which includes the following stages: 1) formation of a data array; 2) carrying out correlation analysis, building a correlation matrix, selecting factors into the model using the Correlation tool in the Data Analysis package of MS

APA, Harvard, Vancouver, ISO, and other styles

30

Puțuntică, Anatolie, and Vitalie Puțuntică. "Regression analysis in the process of studying the correlation between climate factors of the Chisinau weather station." Acta et commentationes Ştiinţe Exacte şi ale Naturii 15, no. 1 (2023): 67–77. http://dx.doi.org/10.36120/2587-3644.v15i1.67-77.

Full text

Abstract:

The study presents linear and nonlinear mathematical models that analyze the regression in the process of correlation between climatic factors. The elaborated research is carried out for the period 1960-2019, analyzing the experimental data of the average annual temperature and the amount of annual precipitation. Various forms of regressions (linear, parabolic, cubic, etc.) and predictions for the correlation between the year and the average annual temperature, the year and the amount of annual precipitation, the average annual temperature and the amount of annual precipitation were obtained.

APA, Harvard, Vancouver, ISO, and other styles

31

Mokhtia, Mahla, Mahdi Eftekhari, and Farid Saberi-Movahed. "Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation." Knowledge-Based Systems 229 (October 2021): 107308. http://dx.doi.org/10.1016/j.knosys.2021.107308.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Jang, Myoung Jin, and Dong Wan Shin. "Tests for random time effects and spatial error correlation in panel regression models." Statistics 48, no. 1 (2012): 101–20. http://dx.doi.org/10.1080/02331888.2012.748767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Zhao, Li, and Xingzhong Xu. "Generalized canonical correlation variables improved estimation in high dimensional seemingly unrelated regression models." Statistics & Probability Letters 126 (July 2017): 119–26. http://dx.doi.org/10.1016/j.spl.2017.02.037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Kaur, Ramanjit, Bhupinder Singh, Manjeet Singh, and S. K. Thind. "Hyperspectral Indices, Correlation and Regression Models for Estimating Growth Parameters of Wheat Genotypes." Journal of the Indian Society of Remote Sensing 43, no. 3 (2015): 551–58. http://dx.doi.org/10.1007/s12524-014-0425-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Voichuk, Maksym, and Yuliia Zavadska. "DEVELOPMENT OF REGIONAL MODELS OF CREATIVE INDUSTRIES ON THE BASIS OF CORRELATION-REGRESSION ANALYSIS." International Journal of Legal Studies ( IJOLS ) 9, no. 1 (2021): 27–34. http://dx.doi.org/10.5604/01.3001.0015.2281.

Full text

Abstract:

The article considers the importance of research and functioning of creative industries and substantiates the stages of integrated assessment of their development. One of the methodologi-cal approaches to the study of creative industries is considered namely correlation-regression analysis. The necessity of application of multiple correlation-regression analysis for estimation of the interdependence of certain creative indicators with their creative parameters is opened and the regional model of development of creative industries is constructed. The study is based on calculations and formulas,

APA, Harvard, Vancouver, ISO, and other styles

36

Asfandiar1, Sulaiman khan2 Syed Rafid Ali Shah3. "Relationship between Transportation Infrastructure and Regional Economic Growth in Pakistan." ISRG Journal of Arts Humanities & Social Sciences (ISRGJAHSS) III, no. II (2025): 70–80. https://doi.org/10.5281/zenodo.14994971.

Full text

Abstract:

<strong>Abstract</strong> <em>In this research, the provinces of Sindh and Punjab are used as case studies to examine the connection between transportation infrastructure and regional economic growth (EG) in Pakistan. The study examines the relationship between Gross Domestic Product (GDP) growth and the growth of road infrastructure over the period 2010-2020 using descriptive statistics, correlation analysis, and regression models. The data shows that Punjab has a modest level of road infrastructure development, while Sindh has a comparatively well-developed level with an average mean of 21.1

APA, Harvard, Vancouver, ISO, and other styles

37

Tenkovskaya, Lyudmila I. "Correlation regression based forecast of Gazprom PJSC stock quotes." Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY 18, no. 1 (2023): 25–52. http://dx.doi.org/10.17072/1994-9960-2023-1-25-52.

Full text

Abstract:

Introduction. A scientific research examining the concern of Gazprom PJSC (a leading Russian energy company) stock quote forecasts is relevant because it could determine investment prospects in the stock market of the Russian Federation. The key idea of this work is to find the most profitable and investable Russian company and outline the factors among many others that affect its stock quotes. Purpose . The author attempts to construct multiple linear regression equations reflecting the impact of the economic factors (the prices of the American natural gas, the USD/RUB currency pair, the M2 m

APA, Harvard, Vancouver, ISO, and other styles

38

Majid, Hanafi, and Syahid Anuar. "The Benchmarking Native Multi-Output, Regressor Chain and TPOT-MTR Models." Journal of Advanced Geospatial Science & Technology 5, no. 1 (2025): 111–33. https://doi.org/10.11113/jagst.v5n1.98.

Full text

Abstract:

Native multi-output expands its capabilities to include multi-target regression using a genetic programming approach. It outperforms state-of-the-art methods on multi-target regression datasets, enhancing prediction accuracy and decision-making in multi-target regression domains. However, it relies heavily on a single target strategy, which may not capture complex interdependencies between multiple targets. Additionally, the systems lack understanding of how linked targets in multi-target regression are handled, making it difficult for practitioners to determine the real connections. The purpo

APA, Harvard, Vancouver, ISO, and other styles

39

Zhang, Lin Jing, Hong Zhang Ma, Zhu Bo Zhou, Zhong Liang Ren, Xiao Bo Zhu, and Lin Sun. "Vegetation Canopy Coverage Estimation Using Physical Models." Advanced Materials Research 726-731 (August 2013): 4709–13. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4709.

Full text

Abstract:

Based on the physical models of PROSPECT, SAIL and porosity model, hyperspectral data and canopy coverage data of different combined scenes were simulated. According to the simulated data, we chose four sensitive bands and four sensitive vegetation indexes highly correlated to vegetation canopy coverage, and analyzed the correlation between sensitive bands, sensitive vegetation indexes and canopy coverage. Then we built a regression model of canopy coverage with EVI highly correlated with canopy coverage. At last, we verified this model by experimental data from ground measurement experiment.

APA, Harvard, Vancouver, ISO, and other styles

40

Filinov, Evgeny, Daria Kolmakova, Sergey Avdeev, and Sergey Krasilnikov. "Correlation-regression models for calculating the weight of small-scale aircraft gas turbine engines." MATEC Web of Conferences 220 (2018): 03004. http://dx.doi.org/10.1051/matecconf/201822003004.

Full text

Abstract:

Several new correlation-regression models of weight calculation for small-scale aircraft gas turbine engines are proposed for their conceptual design stage. A comparison of the obtained weight models with each other and with the Kuz’michev model is carried out. Based on the obtained results, conclusions about the feasibility and scope of their application are drawn. New correlation-regression models differ from each other in the number of input parameters, as well as in the accuracy of forecasting the weight. In the course of the work, a database of main data and thermodynamic parameters of tu

APA, Harvard, Vancouver, ISO, and other styles

41

Darmayani, DE, BP Mahardhika, U. Kalsum, and U. Ali. "Correlation and regression models of rice bran to predict chemical composition with organoleptic tests." IOP Conference Series: Earth and Environmental Science 1341, no. 1 (2024): 012064. http://dx.doi.org/10.1088/1755-1315/1341/1/012064.

Full text

Abstract:

Abstract The goals of this research were to find the relationship between the chemical and the organoleptic quality of rice bran in the city and district of Malang and to create a model for estimating the nutrient content of rice bran based on its organoleptic value. This study used a completely randomized design with 14 treatments and 5 replications. The treatment in this research was the rice bran sampling area while the replication was based on the respondent. Data analysis using regression analysis and correlation. The observed variables included color, texture, and odor as well as the cor

APA, Harvard, Vancouver, ISO, and other styles

42

et al., Jabeen. "Regression modeling and correlation analysis spread of COVID-19 data for Pakistan." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 3 (2022): 71–81. http://dx.doi.org/10.21833/ijaas.2022.03.009.

Full text

Abstract:

This study presents a mathematical analysis of the coronavirus spread in Pakistan by analyzing the (COVID-19) situation in six provinces, including Gilgit Baltistan, Azad Jammu Kashmir and federal capital (seven zones) individually. The influence of each province and the Federal Capital territory is then observed over the other territories. By subdividing the associated data into confirmed cases, death cases, and recovery cases, the dependence of the (COVID-19) situation from one province to the other provinces is investigated. Since the worsening circumstance in the neighboring countries were

APA, Harvard, Vancouver, ISO, and other styles

43

Jayaram, N., and J. W. Baker. "Considering Spatial Correlation in Mixed-Effects Regression and the Impact on Ground-Motion Models." Bulletin of the Seismological Society of America 100, no. 6 (2010): 3295–303. http://dx.doi.org/10.1785/0120090366.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Okui, Ryo. "Testing serial correlation in fixed effects regression models based on asymptotically unbiased autocorrelation estimators." Mathematics and Computers in Simulation 79, no. 9 (2009): 2897–909. http://dx.doi.org/10.1016/j.matcom.2008.08.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Mokhtia, Mahla, Mahdi Eftekhari, and Farid Saberi-Movahed. "Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation." Applied Soft Computing 91 (June 2020): 106255. http://dx.doi.org/10.1016/j.asoc.2020.106255.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Godfrey, L. G., and A. R. Tremayne. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models." Computational Statistics & Data Analysis 49, no. 2 (2005): 377–95. http://dx.doi.org/10.1016/j.csda.2004.05.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Godfrey, L. G. "Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models." Computational Statistics & Data Analysis 51, no. 7 (2007): 3282–95. http://dx.doi.org/10.1016/j.csda.2006.05.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Liao, L. M., J. F. Li, and G. D. Lei. "Structural characterization and prediction of kovats retention indices (RI) for alkylbenzene compounds." Журнал структурной химии 57, no. 8 (2016): 1625. http://dx.doi.org/10.26902/jsc20160806.

Full text

Abstract:

A new molecular structural characterization (MSC) method called the molecular vertex eigenvalue correlative index (MVECI) is constructed and used to describe the structures of 122 alkylbenzene compounds. Through multiple linear regression (MLR) and stepwise multiple regression (SMR), a quantitative structure-retention relationship (QSRR) model with correlation coefficient (R) of 0.995 is obtained. Through partial least-square regression (PLS), another QSRR model with correlation coefficient (R) of 0.991 is obtained. The estimation stability and prediction ability of the two models are strictly

APA, Harvard, Vancouver, ISO, and other styles

49

Teguh, Sugiarto, Rahayu Sri, Subagyo Ahmad, Madu Ludiro, and Mohamadian Amiri Amir. "REGRESSION AND CORRELATION ANALYSIS STOCK PRICE WITH BANKRUPTCY (CASE STUDY WITH ZMIJEWSKI BANKRUPTCY MODEL)." International Journal of Research - Granthaalayah 5, no. 5 (2017): 68–72. https://doi.org/10.5281/zenodo.583887.

Full text

Abstract:

The purpose of this study to determine how the correlation effect of corporate bankruptcies with stock prices. The study was conducted on companies in the ceramics, glass and porcelain sectors whose shares are traded on the Indonesia Stock Exchange and publish the financial statements in Indonesia Stock Exchange (BEI) in the period 2010-2014. The method used in this research is correlation and regression of OLS. From the research that has been done can be concluded that, the result of regression test of five models at the proposed quadratic value of R is very low and indicate the happening of

APA, Harvard, Vancouver, ISO, and other styles

50

Bermúdez, Lluís, and Dimitris Karlis. "Multivariate INAR(1) Regression Models Based on the Sarmanov Distribution." Mathematics 9, no. 5 (2021): 505. http://dx.doi.org/10.3390/math9050505.

Full text

Abstract:

A multivariate INAR(1) regression model based on the Sarmanov distribution is proposed for modelling claim counts from an automobile insurance contract with different types of coverage. The correlation between claims from different coverage types is considered jointly with the serial correlation between the observations of the same policyholder observed over time. Several models based on the multivariate Sarmanov distribution are analyzed. The new models offer some advantages since they have all the advantages of the MINAR(1) regression model but allow for a more flexible dependence structure

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!