Academic literature on the topic 'Coefficient of neutrosophic data'

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

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Coefficient of neutrosophic data.'

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.

Journal articles on the topic "Coefficient of neutrosophic data"

1

Singh, Abhishek, Eid Sadun Alotaibi, and Muhammad Aslam. "Evaluating the Consistency of Neutrosophic Data Using Various Statistical Distributions: Comparative Studies and Applications." International Journal of Analysis and Applications 23 (July 16, 2025): 170. https://doi.org/10.28924/2291-8639-23-2025-170.

Full text
Abstract:
In this paper, we primarily have given neutrosophic coefficient of variation, robust neutrosophic coefficient of variation concern to interquartile range, and robust neutrosophic coefficient of variation concern to median absolute deviation. Following the introduction, we have explored the methods of neutrosophic coefficient of variation, which is an effective method for modeling data that is fuzzy, imprecise, and uncertain. For the comparative study, we have given numerical studies based on neutrosophic distributions including discrete and continuous distributions. First, we have compared all
APA, Harvard, Vancouver, ISO, and other styles
2

Hussein Al-Marshadi, Ali, Muhammad Aslam, and Alharbey Abdullah. "Uncertainty-Based Trimmed Coefficient of Variation with Application." Journal of Mathematics 2021 (October 4, 2021): 1–6. http://dx.doi.org/10.1155/2021/5511904.

Full text
Abstract:
In this paper, the neutrosophic trimmed average, neutrosophic trimmed standard deviation, and neutrosophic trimmed coefficient of variation (NTCV) are introduced. The application of the proposed neutrosophic trimmed descriptive statistics is given with the help of measurement data. The comparisons of the proposed NTCV are compared with the existing neutrosophic coefficient of variation (NCV). From the comparisons, it is concluded that the proposed NTCV is more efficient than NCV in terms of consistency and measures of indeterminacy. Based on the study, it is recommended to apply the proposed N
APA, Harvard, Vancouver, ISO, and other styles
3

Aslam, Muhammad, and Mansour Sattam Aldosari. "Inspection Strategy under Indeterminacy Based on Neutrosophic Coefficient of Variation." Symmetry 11, no. 2 (2019): 193. http://dx.doi.org/10.3390/sym11020193.

Full text
Abstract:
The existing sampling plans which use the coefficient of variation (CV) are designed under classical statistics. These available sampling plans cannot be used for sentencing if the sample or the population has indeterminate, imprecise, unknown, incomplete or uncertain data. In this paper, we introduce the neutrosophic coefficient of variation (NCV) first. We design a sampling plan based on the NCV. The neutrosophic operating characteristic (NOC) function is then given and used to determine the neutrosophic plan parameters under some constraints. The neutrosophic plan parameters such as neutros
APA, Harvard, Vancouver, ISO, and other styles
4

Iryna, Shchur, Yu Zhong, Wen Jiang, Xinyang Deng, and Jie Geng. "Single-Valued Neutrosophic Set Correlation Coefficient and Its Application in Fault Diagnosis." Symmetry 12, no. 8 (2020): 1371. http://dx.doi.org/10.3390/sym12081371.

Full text
Abstract:
With the increasing automation of mechanical equipment, fault diagnosis becomes more and more important. However, the factors that cause mechanical failures are becoming more and more complex, and the uncertainty and coupling between the factors are getting higher and higher. In order to solve the given problem, this paper proposes a single-valued neutrosophic set ISVNS algorithm for processing of uncertain and inaccurate information in fault diagnosis, which generates neutrosophic set by triangular fuzzy number and introduces the formula of the improved weighted correlation coefficient. Since
APA, Harvard, Vancouver, ISO, and other styles
5

Şengül Kandemir, Hacer, Nazlım Deniz Aral, Murat Karakaş, and Mikail Et. "Neutrosophic Statistical Analysis of Temperatures of Cities in the Southeastern Anatolia Region of Turkey." Neutrosophic Systems with Applications 14 (January 17, 2024): 50–59. http://dx.doi.org/10.61356/j.nswa.2024.119.

Full text
Abstract:
In the paper, neutrosophic statistical analysis of temperature data of different cities in the southeastern Anatolia region of Turkey is given. The neutrosophic mean and neutrosophic coefficient of variation are computed using the temperature data. From the analysis, it is concluded that the temperatures of Mardin and Şanlıurfa cities are more consistent than the other cities in Turkey. In addition, the neutrosophic results are compared with results under classical statistics. Based on the comparative study, it can be concluded that neutrosophic statistical results are more adequate, flexible,
APA, Harvard, Vancouver, ISO, and other styles
6

Naveed, Hamza, and Saalam Ali. "Multi-Criteria Decision-Making Approach Based on Correlation Coefficient for Multi-Polar Interval-Valued Neutrosophic Soft Set." Neutrosophic Systems with Applications 24 (December 1, 2024): 18–33. https://doi.org/10.61356/j.nswa.2024.24417.

Full text
Abstract:
The correlation coefficient between two factors is crucial in statistical computation, indicating the extent and evolution of the appropriate link. The precision of applicability evaluations frequently relies on the thoroughness and caliber of data obtained from a certain dataset. Statistical research sometimes entails data marked by intrinsic trade-offs and uncertainty. This study seeks to present m-polar interval-valued neutrosophic soft sets (mPIVNSSs) through the integration of m-polar fuzzy sets with interval-valued neutrosophic soft sets. The suggested mPIVNSS structure is a significantl
APA, Harvard, Vancouver, ISO, and other styles
7

Aslam, Muhammad, and Mohammed Albassam. "Application of Neutrosophic Logic to Evaluate Correlation between Prostate Cancer Mortality and Dietary Fat Assumption." Symmetry 11, no. 3 (2019): 330. http://dx.doi.org/10.3390/sym11030330.

Full text
Abstract:
This paper presents an epidemiological study on the dietary fat that causes prostate cancer in an uncertainty environment. To study this relationship under the indeterminate environment, data from 30 countries are selected for the prostate cancer death rate and dietary fat level in the food. The neutrosophic correlation and regression line are fitted on the data. We note from the neutrosophic analysis that the prostate cancer death rate increases as the dietary fat level in the people increases. The neutrosophic regression coefficient also confirms this claim. From this study, we conclude that
APA, Harvard, Vancouver, ISO, and other styles
8

Shah, Faisal, Muhammad Aslam, Zahid Khan, Mohammed M. A. Almazah, and Fuad S. Alduais. "On Neutrosophic Extension of the Maxwell Model: Properties and Applications." Journal of Function Spaces 2022 (February 16, 2022): 1–9. http://dx.doi.org/10.1155/2022/4536260.

Full text
Abstract:
This work presents the neutrosophic Maxwell distribution (NMD) as a novel probability distribution. The proposed model represents a generalized design of Maxwell distribution that provides more analytical flexibility for data, including all imprecise observations or some degree of vagueness within the dataset. Important reliability characteristics and distributional properties of NMD are developed under the notion of neutrosophy. The neutrosophic forms of some commonly used functions in applied statistics such as mean, variance, moment generating function, and shape coefficients are explored.
APA, Harvard, Vancouver, ISO, and other styles
9

Aslam, Muhammad, Nasrullah Khan, and Muhammad Khan. "Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method." Symmetry 10, no. 11 (2018): 562. http://dx.doi.org/10.3390/sym10110562.

Full text
Abstract:
Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data. In this paper, we will originally design S 2 control chart under the neutrosophic interval methods. The complete structure of the neutrosophic S 2 control chart will be given. The necessary measures of neutrosophic S 2 will be given. The neutrosophic coefficient of S 2 control chart will be dete
APA, Harvard, Vancouver, ISO, and other styles
10

Hanafy, I. M., A. A. Salama, O. M. Khaled, and K. M. Mahfouz. "Correlation of Neutrosophic Sets in Probability Spaces." Journal of Applied Mathematics, Statistics and Informatics 10, no. 1 (2014): 45–52. http://dx.doi.org/10.2478/jamsi-2014-0004.

Full text
Abstract:
Abstract In this paper, we introduce and study the concepts of correlation and correlation coefficient of neutrosophic data in probability spaces. In the case of finite spaces, these results give the results due to Salama et al. [16, 17, 18] and study some of their properties.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Coefficient of neutrosophic data"

1

Ambler, Gareth. "Time varying-coefficient models." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321345.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Müller, Werner, and Michaela Nettekoven. "A Panel Data Analysis: Research & Development Spillover." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/620/1/document.pdf.

Full text
Abstract:
Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of special importance is the choice between so-called fixed and random coefficient models. This choice can have a crucial effect on the interpretation of the analyzed phenomenon, which is demonstrated by an application on research and development spillover. (author's abstract)<br>Series: Forschungsberi
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Yixin. "Statistical inference for varying coefficient models." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/17690.

Full text
Abstract:
Doctor of Philosophy<br>Department of Statistics<br>Weixin Yao<br>This dissertation contains two projects that are related to varying coefficient models. The traditional least squares based kernel estimates of the varying coefficient model will lose some efficiency when the error distribution is not normal. In the first project, we propose a novel adaptive estimation method that can adapt to different error distributions and provide an efficient EM algorithm to implement the proposed estimation. The asymptotic properties of the resulting estimator is established. Both simulation studies and
APA, Harvard, Vancouver, ISO, and other styles
4

Assaf, Shireen. "Behaviour Risk Factor Surveillance Data Analysis Using Varying Coefficient Models." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423804.

Full text
Abstract:
There is a high potential of information available in Behaviour Risk Factor Surveillance (BRFS) data, and especially for studying trends, as these data collect information in an ongoing and almost continuous manner for long periods of time. In order to account for the complex and dynamic relationships between the variables and avoid the aggregation of measures so as not to lose information in variability, the use of varying coefficient models with non-parametric techniques have been studied. These models allow the study of the trends and inter-relationships in the effects of the variables on t
APA, Harvard, Vancouver, ISO, and other styles
5

Koomson, Obed. "Performance Assessment of The Extended Gower Coefficient on Mixed Data with Varying Types of Functional Data." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3512.

Full text
Abstract:
Clustering is a widely used technique in data mining applications to source, manage, analyze and extract vital information from large amounts of data. Most clustering procedures are limited in their performance when it comes to data with mixed attributes. In recent times, mixed data have evolved to include directional and functional data. In this study, we will give an introduction to clustering with an eye towards the application of the extended Gower coefficient by Hendrickson (2014). We will conduct a simulation study to assess the performance of this coefficient on mixed data whose functio
APA, Harvard, Vancouver, ISO, and other styles
6

Thorin, Erik. "Design of Algorithms to Extract Atmospheric Aerosol Extinction from Raman Lidar Data." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7912.

Full text
Abstract:
<p>This thesis project describes how the retrieval of aerosol extinction and backscatter coefficients is computed from data obtained with a Raman lidar at FOI, Swedish Defense Research Agency. The theory is described, the implementation is done and problems discovered along the way are discussed. The lidar use the wavelength 355 nm and the Raman shift in nitrogen at 387 nm.</p><p>The retrieved algorithm gives extinction coefficient between 1 500 and 10 000 meters while the backscatter coefficient covers the span 800 to 15 000 meters. However there is skewness in the backscatter coefficient tha
APA, Harvard, Vancouver, ISO, and other styles
7

Bederman, S. Samuel. "Estimation methods in random coefficient regression for continuous and binary longitudinal data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0004/MQ29203.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Al-Shaikh, Enas. "Longitudinal Regression Analysis Using Varying Coefficient Mixed Effect Model." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543464.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Leach, Lesley Ann Freeny. "Bias and Precision of the Squared Canonical Correlation Coefficient under Nonnormal Data Conditions." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5361/.

Full text
Abstract:
This dissertation: (a) investigated the degree to which the squared canonical correlation coefficient is biased in multivariate nonnormal distributions and (b) identified formulae that adjust the squared canonical correlation coefficient (Rc2) such that it most closely approximates the true population effect under normal and nonnormal data conditions. Five conditions were manipulated in a fully-crossed design to determine the degree of bias associated with Rc2: distribution shape, variable sets, sample size to variable ratios, and within- and between-set correlations. Very few of the conditi
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Jinsong. "Variance analysis for kernel smoothing of a varying-coefficient model with longitudinal data /." Electronic version (PDF), 2003. http://dl.uncw.edu/etd/2003/chenj/jinsongchen.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Coefficient of neutrosophic data"

1

Xiao, Zheng. Random coefficient panel data models. IZA, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Jun Corser. Bayesian statistical inference for coefficient alpha. ACT, Inc., 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lee, Jihui. Varying-Coefficient Models and Functional Data Analyses for Dynamic Networks and Wearable Device Data. [publisher not identified], 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

A, Spencer E., ed. The analysis of coefficient data relating to the EEC 100mm orifice plates. Commission of theEuropean Communities, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bederman, S. Samuel. Estimation methods in random coefficient regression for continuous and binary longitudinal data. National Library of Canada = Bibliothèque nationale du Canada, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Shi, Feng. Learn About Assortativity Coefficient in R With Data From UK Faculty Dataset (2008). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526487568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Shi, Feng. Learn About Assortativity Coefficient in Python With Data From UK Faculty Dataset (2008). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526499059.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wiesen, Christopher. Learn About the Phi Coefficient in SPSS With Data From the Southern Opinion Research Survey (1990). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526489388.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wiesen, Christopher. Learn About the Eta Squared Coefficient With Data From the “Do Social Rights Affect Social Outcomes?” Dataset (2015). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526484871.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Scott Jones, Julie. Learn to Use the Eta Coefficient Test in SPSS With Data From the NIOSH Quality of Worklife Survey (2014). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526474681.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Coefficient of neutrosophic data"

1

Basumatary, Bhimraj, and Jili Basumatary. "Cardinalities of Neutrosophic Sets and Neutrosophic Crisp Sets." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sherwani, Rehan Ahmad Khan, Muhammad Aslam, Huma Shakeel, Kamran Abbas, and Farrukh Jamal. "Neutrosophic Statistics for Grouped Data: Theory and Applications." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Binu, R. "Neutrosophic Submodule of Direct Sum." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Boro, Prasen, Bhimraj Basumatary, and Said Broumi. "The Systems of Neutrosophic Cylindrical Coordinates." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Narayana, D., Sharad Ranjan, and Nupur Tyagi. "Correlation Coefficient." In Basic Computational Techniques for Data Analysis, 2nd ed. Routledge India, 2023. http://dx.doi.org/10.4324/9781003398127-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Karaaslan, Faruk. "Correlation Coefficient of Neutrosophic Sets and Its Applications in Decision-Making." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Archodoulaki, V. M., and S. Seidler. "Coefficient of expansion - data." In Polymer Solids and Polymer Melts–Mechanical and Thermomechanical Properties of Polymers. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55166-6_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Legrand, Gaelle, and Nicolas Nicoloyannis. "Data Preprocessing and Kappa Coefficient." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11548669_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bonamente, Massimiliano. "The Linear Correlation Coefficient." In Statistics and Analysis of Scientific Data. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0365-6_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kahraman, Cengiz, Sezi Cevik Onar, and Basar Oztaysi. "Customer Segmentation Method Determination Using Neutrosophic Sets." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_64.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Coefficient of neutrosophic data"

1

Mishra, Sourav, Rajini Makam, and Suresh Sundaram. "Data-Driven Coefficient Estimation for Autonomous Underwater Vehicle Depth Subsystem." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10830948.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shang, Fei, Weixiang Zhao, Jingyang Wen, Xiangui Kang, and Z. Jane Wang. "INN-based Robust JPEG Steganography Through Cover Coefficient Selection." In 2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC). IEEE, 2024. https://doi.org/10.1109/dsc63484.2024.00061.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Xiaofang, Mingjing Wu, and Xiaomin Wang. "Process Capability Analysis for Image Data based on Coefficient of Variation." In 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE). IEEE, 2024. https://doi.org/10.1109/cbase64041.2024.10824607.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ding, Hongfa, Peiwang Fu, Yingxuan Luo, Heling Jiang, and Hai Liu. "Collecting Clustering Coefficient of Distributed Graph Data with Shuffled Differential Privacy." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00103.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Qin, Liang, and Kaiyue Yin. "An Improved Genetic Algorithm for Predicting Road Roughness Coefficient." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10761989.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Moradi, Hamid, Farah Deeba, and Robert Rohling. "Ultrasound Attenuation Coefficient Estimation: Comparison among Different Beamforming and Data Acquisition Methods." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793949.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wallar, Breken L., and Mark L. Kimber. "Numerical Investigation of Force Coefficient Data for Multiple Flow Past Cylinder Configurations." In 10th Thermal and Fluids Engineering Conference (TFEC). Begellhouse, 2025. https://doi.org/10.1615/tfec2025.bio.055994.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bhutani, Kanika, Megha Kumar, and Swati Aggarwal. "Multi-attribute data classification using Neutrosophic probability." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443599.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bhutani, Kanika, and Swati Aggarwal. "Experimenting with neutrosophic ontologies for medical data classification." In 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI). IEEE, 2015. http://dx.doi.org/10.1109/wci.2015.7495535.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

De, Soumitra, Jaydev Mishra, and Sharmistha Ghosh. "Query processing of inconsistent data using neutrosophic set." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813723.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Coefficient of neutrosophic data"

1

Eckerman, K. F., and R. W. Leggett. DCFPAK: Dose coefficient data file package for Sandia National Laboratory. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/419124.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Liang, Yuli, Chengcheng Hao, and Deliang Dai. Two-sample intraclass correlation coefficient tests for matrix-valued data. Department of Economics and Statistics, Linnaeus University, 2024. http://dx.doi.org/10.15626/ns.wp.2024.06.

Full text
Abstract:
Under a model having a Kronecker product covariance structure with compound symmetry or circular symmetry, two-sample hypothesis testing for the equality of two correlation parameters is considered. Different tests are proposed by using the ratio of independent F distributions. Several tests are compared with the proposed ones and practical recommendations are made based on their type I error probabilities and powers. Finally, all mentioned tests are applied to a real data example.
APA, Harvard, Vancouver, ISO, and other styles
3

Donovan, William F. Determination of Heat Transfer Coefficient in a Gun Barrel from Experimental Data. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada151815.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kuzhuget, Andrey V., Larisa Beilina, Michael V. Klibanov, and Vladimir G. Romanov. Approximate Global Convergence and Quasi-Reversibility for a Coefficient Inverse Problem with Backscattering Data. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada544680.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Gregory, A. An algorithm for fitting Q-factor to scalar transmission-coefficient data with asymmetric peak. National Physical Laboratory, 2025. https://doi.org/10.47120/npl.tqe33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Shkolnikov, Vladimir M., Evgueni M. Andreev, and Alexander Z. Begun. Gini coefficient as a life table function: computation from discrete data, decomposition of differences and empirical examples. Max Planck Institute for Demographic Research, 2001. http://dx.doi.org/10.4054/mpidr-wp-2001-017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kantrowitz, Frank T. Vertical Molecular Absorption Coefficient Profiles and Associated Meteorological Data at the High Energy Laser Systems Test Facility for 20 August 1991. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada257353.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bonhomme, Stéphane, and Angela Denis. Fixed Effects and Beyond. Bias Reduction, Groups, Shrinkage and Factors in Panel Data. Banco de España, 2025. https://doi.org/10.53479/40051.

Full text
Abstract:
Many traditional panel data methods are designed to estimate homogeneous coefficients. While a recent literature acknowledges the presence of coefficient heterogeneity, its main focus so far has been on average effects. In this paper we review various approaches that allow researchers to estimate heterogeneous coefficients, hence shedding light on how effects vary across units and over time. We start with traditional heterogeneous-coefficients fixed-effects methods, and point out some of their limitations. We then describe bias-correction methods, as well as two approaches that impose addition
APA, Harvard, Vancouver, ISO, and other styles
9

MR (Diffusion-Weighted Imaging (DWI) of the Apparent Diffusion Coefficient (ADC), Clinically Feasible Profile. Chair Michael Boss, Dariya Malyarenko, and Daniel Margolis. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20221215.

Full text
Abstract:
The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance and is derived from the body of scientific literature meeting specific requirements, in particular test-retest studies. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Diffusion-Weighted
APA, Harvard, Vancouver, ISO, and other styles
10

Anderson, Gordon. A coefficient of variation for ordered categorical data: Analyzing relative health inequality and ageing in the UK and relative human resource inequality and gender in Canada. The IFS, 2023. http://dx.doi.org/10.1920/wp.ifs.2023.4123.

Full text
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!