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Journal articles on the topic 'Marginal parameters'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Hudson, Suzanne, and Paul W. Vos. "Marginal information for expectation parameters." Canadian Journal of Statistics 28, no. 4 (2000): 875–86. http://dx.doi.org/10.2307/3315922.

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2

Kharroubi, Samer A. "Approximate marginal densities of independent parameters." Statistics 46, no. 4 (2011): 459–71. http://dx.doi.org/10.1080/02331888.2010.540667.

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3

De Bernardo, Maddalena, Palmiro Cornetta, Giuseppe Marotta, and Nicola Rosa. "Corneal biomechanical parameters in pellucid marginal degeneration." Journal of Current Ophthalmology 30, no. 3 (2018): 280. http://dx.doi.org/10.1016/j.joco.2018.06.002.

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Mishra, Ambika P., Nicol S. Harper, and Jan W. H. Schnupp. "Exploring the distribution of statistical feature parameters for natural sound textures." PLOS ONE 16, no. 6 (2021): e0238960. http://dx.doi.org/10.1371/journal.pone.0238960.

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Sounds like “running water” and “buzzing bees” are classes of sounds which are a collective result of many similar acoustic events and are known as “sound textures”. A recent psychoacoustic study using sound textures has reported that natural sounding textures can be synthesized from white noise by imposing statistical features such as marginals and correlations computed from the outputs of cochlear models responding to the textures. The outputs being the envelopes of bandpass filter responses, the ‘cochlear envelope’. This suggests that the perceptual qualities of many natural sounds derive d

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5

AL-Moisheer, A. S., Refah Mohammed Alotaibi, Ghadah A. Alomani, and H. Rezk. "Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation." Mathematical Problems in Engineering 2020 (March 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/5234601.

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In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y. The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.

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6

Domke, J. "Learning Graphical Model Parameters with Approximate Marginal Inference." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 10 (2013): 2454–67. http://dx.doi.org/10.1109/tpami.2013.31.

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Evans, Robin J., and Thomas S. Richardson. "Marginal log-linear parameters for graphical Markov models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 75, no. 4 (2013): 743–68. http://dx.doi.org/10.1111/rssb.12020.

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8

Allenby, Greg M., and Peter E. Rossi. "A marginal-predictive approach to identifying household parameters." Marketing Letters 4, no. 3 (1993): 227–39. http://dx.doi.org/10.1007/bf00999229.

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9

El-Morshedy, Mahmoud, and Mohamed Eliwa. "A bivariate probability generator for the odd generalized exponential model: Mathematical structure and data fitting." Filomat 38, no. 3 (2024): 1109–33. http://dx.doi.org/10.2298/fil2403109e.

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The generalized exponential (GE) distribution is the well-established generalization of the exponential distribution in statistical literature. Tahir et al. (2015) proposed a flexible probability generator called the odd generalized exponential-G (OGE-G) family of distributions. In this article, we propose a bivariate extension of the OGE-G class, in the so-called the bivariate odd generalized exponential-G (BOGE-G) family of distributions, whose marginal distributions are OGE-G families. Important mathematical and statistical properties of the BOGE-G family including joint density function wi

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Taufer, Emanuele. "Estimation of marginal parameters of SUP-OU processes with long range dependence." International Journal of Advanced Statistics and Probability 4, no. 2 (2016): 102. http://dx.doi.org/10.14419/ijasp.v4i2.6722.

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Superpositions of Ornstein Uhlenbeck processes provide convenient ways to build stationary processes with given marginal distributions and long range dependence. After reviewing some of the basic features, we present several examples of processes with non Gaussian marginal distributions. Estimation of the parameters of the marginal distribution is undertaken by means of a characteristic function technique. We provide the relevant asymptotic theory as well as results of simulations and real data applications.

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11

Amry, Zul. "Bayesian Estimate of Parameters for ARMA Model Forecasting." Tatra Mountains Mathematical Publications 75, no. 1 (2020): 23–32. http://dx.doi.org/10.2478/tmmp-2020-0002.

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AbstractThis paper presents a Bayesian approach to finding the Bayes estimator of parameters for ARMA model forecasting under normal-gamma prior assumption with a quadratic loss function in mathematical expression. Obtaining the conditional posterior predictive density is based on the normal-gamma prior and the conditional predictive density, whereas its marginal conditional posterior predictive density is obtained using the conditional posterior predictive density. Furthermore, the Bayes estimator of parameters is derived from the marginal conditional posterior predictive density.

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12

Chisoi, Anca, Mariana Aşchie, and Manuela Enciu. "Morphometric Characterization of Marginal Zone Lymphoma." ARS Medica Tomitana 21, no. 1 (2015): 17–21. http://dx.doi.org/10.1515/arsm-2015-0014.

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Abstract The morphometry in histopathology is used to characterize cell populations belonging to different tissues and to identify differences in their parameters with prognostic implications. To achieve morphometric examination were selected 6 of 8 cases identified as marginal zone lymphoma. For each case analysis was done on five fields, for each field measuring the parameters of 20 cells. The studied parameters were for cytoplasm: cytoplasmic area, maximum and minimum cytoplasmic diameter, cytoplasmic perimeter; for nucleus were measured: nuclear area, minimum and maximum nuclear diameter,

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13

Kulaxizi, Manuela. "Marginal deformations ofN=4SYMand open vs. closed string parameters." Nuclear Physics B 887 (October 2014): 175–200. http://dx.doi.org/10.1016/j.nuclphysb.2014.08.005.

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14

Stanghellini, Elena, and Marco Doretti. "On marginal and conditional parameters in logistic regression models." Biometrika 106, no. 3 (2019): 732–39. http://dx.doi.org/10.1093/biomet/asz019.

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Summary We derive the exact formula linking the parameters of marginal and conditional logistic regression models with binary mediators when no conditional independence assumptions can be made. The formula has the appealing property of being the sum of terms that vanish whenever parameters of the conditional models vanish, thereby recovering well-known results as particular cases. It also permits the disentangling of direct and indirect effects as well as quantifying the distortion induced by the omission of relevant covariates, opening the way to sensitivity analysis. As the parameters of the

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15

Forster, Jonathan J., and Allan M. Skene. "Calculation of marginal densities for parameters of multinomial distributions." Statistics and Computing 4, no. 4 (1994): 279–86. http://dx.doi.org/10.1007/bf00156751.

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16

Datta, Somnath, and James D. Beck. "Robust estimation of marginal regression parameters in clustered data." Statistical Modelling: An International Journal 14, no. 6 (2014): 489–501. http://dx.doi.org/10.1177/1471082x14535481.

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17

Popović, Predrag M., Miroslav M. Ristić, and Aleksandar S. Nastić. "A geometric bivariate time series with different marginal parameters." Statistical Papers 57, no. 3 (2015): 731–53. http://dx.doi.org/10.1007/s00362-015-0677-z.

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18

Zhou, Xinlong, Guang Zhang, Shaohua Hu, and Junzhe Li. "Optimal Estimation of Shear Strength Parameters Based on Copula Theory Coupling Information Diffusion Technique." Advances in Civil Engineering 2019 (May 26, 2019): 1–18. http://dx.doi.org/10.1155/2019/8738969.

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In geotechnical reliability analysis, random volatility in marginal distributions of shear strength parameters has been rarely considered. Unfortunately, conventional marginal distribution models cannot characterize real probability distribution accurately, leading to considerable dispersion with incomplete probabilistic information. In this paper, an estimation methodology is proposed based on copula theory coupling information diffusion technique. Firstly, information diffusion distribution is extended to represent one-dimensional marginal distributions of shear strength parameters. Secondly

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19

Elbadawy, Adel Abdelsattar, Elsayed Ali Omar, and Mohammed Hosny AbdElaziz. "MicroCT evaluation for CAD/CAM occlusal veneer fit using two materials and three cement space settings." Brazilian Dental Journal 33, no. 4 (2022): 71–78. http://dx.doi.org/10.1590/0103-6440202204764.

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Abstract This study was aimed to evaluate the fit of occlusal veneer restoration for two CAD/CAM materials with different cement space settings, using microCT scans. Sixty resin dies were made and divided into two groups (n=30) according to the materials, (I): Hybrid all-ceramic, and (II): zirconia-reinforced lithium silicate glass-ceramic. Each group was subdivided into three subgroups (n=10) according to the cement space parameters (30, 40, and 50 µm). Occlusal veneers for the six subgroups were milled. A circle with 20 different sections was placed at the center of every scanned specimen to

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20

Huber, Mark, and Nevena Marić. "Multivariate Distributions with Fixed Marginals and Correlations." Journal of Applied Probability 52, no. 2 (2015): 602–8. http://dx.doi.org/10.1239/jap/1437658619.

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Consider the problem of drawing random variates (X1, …, Xn) from a distribution where the marginal of each Xi is specified, as well as the correlation between every pair Xi and Xj. For given marginals, the Fréchet-Hoeffding bounds put a lower and upper bound on the correlation between Xi and Xj. Any achievable correlation between Xi and Xj is a convex combination of these bounds. We call the value λ(Xi, Xj) ∈ [0, 1] of this convex combination the convexity parameter of (Xi, Xj) with λ(Xi, Xj) = 1 corresponding to the upper bound and maximal correlation. For given marginal distributions functio

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21

Park, Gang-Seok, Seong-Kyun Kim, Seong-Joo Heo, Jai-Young Koak, and Deog-Gyu Seo. "Effects of Printing Parameters on the Fit of Implant-Supported 3D Printing Resin Prosthetics." Materials 12, no. 16 (2019): 2533. http://dx.doi.org/10.3390/ma12162533.

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The purpose of the study was to investigate the influence of 3D printing parameters on fit and internal gap of 3D printed resin dental prosthesis. The dental model was simulated and fabricated for three-unit prostheses with two implants. One hundred prostheses were 3D printed with two-layer thicknesses for five build orientations using a resin (NextDent C&B; 3D systems, Soesterberg, The Netherlands) and ten prostheses were manufactured with a milling resin as control. The prostheses were seated and scanned with micro-CT (computerized tomography). Internal gap volume (IGV) was calculated fr

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22

Saengnil, Wanchanok, Munlika Anuntasainont, Natchalee Srimaneekarn, Vesna Miletic, and Pong Pongprueksa. "A Retrospective Clinical Study on Factors Influencing the Failure of NCCL Restorations." International Journal of Dentistry 2022 (April 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/8048265.

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Objectives. This retrospective study evaluated the factors influencing the clinical failure of noncarious cervical lesion (NCCL) restorations. Methods. Patients were routinely treated by undergraduate or postgraduate students and randomly received a clinical recall evaluation. A retrospective study was performed with two experienced calibrated examiners to evaluate NCCL restorations, including the critical parameters of retention, caries, marginal discoloration, and marginal integrity. The factors related to the restoration included gender, age, arch site, tooth position, the presence of occlu

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23

Kennedy, Bruce. "Some Distributional Impacts of Marginal Changes to Public Pension Parameters." Canadian Public Policy / Analyse de Politiques 16, no. 1 (1990): 73. http://dx.doi.org/10.2307/3551260.

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24

Bell, Bradley M. "Approximating the marginal likelihood estimate for models with random parameters." Applied Mathematics and Computation 119, no. 1 (2001): 57–75. http://dx.doi.org/10.1016/s0096-3003(99)00230-1.

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25

Qin, Yongsong, J. N. K. Rao, and Qunshu Ren. "Confidence intervals for marginal parameters under imputation for item nonresponse." Journal of Statistical Planning and Inference 138, no. 8 (2008): 2283–302. http://dx.doi.org/10.1016/j.jspi.2007.10.009.

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26

Banihashemrad, SA, MR Mokhtari, MJ Mogaddas, F. Farazi, and A. Garajian. "Clinical Evaluation of Periodontal Parameters in Correct Marginal Dental Restorations." Journal of North Khorasan University of Medical Sciences 4, no. 4 (2013): 535–41. http://dx.doi.org/10.29252/jnkums.4.4.535.

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27

DICICCIO, T. J., C. A. FIELD, and D. A. S. FRASER. "Approximations of marginal tail probabilities and inference for scalar parameters." Biometrika 77, no. 1 (1990): 77–95. http://dx.doi.org/10.1093/biomet/77.1.77.

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28

Martin, Ryan, and Chuanhai Liu. "Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters." Journal of the American Statistical Association 110, no. 512 (2015): 1621–31. http://dx.doi.org/10.1080/01621459.2014.985827.

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29

Tığlıoğlu, Pınar, Abdulkerim Yıldız, Murat Albayrak, et al. "Marjinal Zon Lenfoma Tanılı Hastalarda Klinik Özellikler ve Olası Prognostik Faktörler: İki Merkezden Retrospektif Analiz." LLM Dergi 6, no. 1 (2022): 16–21. http://dx.doi.org/10.5578/llm.20229903.

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Objective: Marginal zone lymphoma accounts 5%-17% of all non-Hodgkin lymphomas and has an indolent clinical course. The parameters that predict prognosis and the need for treatment are still unclear. The aim of the current study was to examine the impact of parameters on the course of disease and the need for treatment in marginal zone lymphoma. Patients and Methods: A retrospective study was conducted with marginal zone lymphoma patients in the hematology departments of two centres between 2010 and 2018. The demographic and disease characteristics, and also hematological and biochemical param

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Albayrak, Haydar, Ravza Eraslan, Ozan Temizkanli, Bahar Sayin Sahin, Mustafa Ayata, and Taygun Sezer. "The Effect of Sintering Procedures on Fit and Color in Zirconia Crowns." Journal of Advanced Oral Research 13, no. 2 (2022): 245–51. http://dx.doi.org/10.1177/23202068221129025.

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Purpose: The aim of this study was to examine the effects of various sintering procedures on the color parameters, marginal, and internal fit of zirconia crowns. Materials and Methods: Overall, 60 zirconia crowns were produced using 3 distinct zirconia blocks (Wieland Zenostar, Zirkonzahn Ice Translucent, and Zirkonzahn Prettau). For the sintering procedure of the crowns, six groups were created as follows: Wieland-Standard, Wieland-Speed, Ice-Standard, Ice-Speed, Prettau-Slow, and Prettau-Standard programs. The crowns were assigned into groups ( n = 10 in each group). The color parameters, ma

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31

Haifaa Abdulgawwad Saeed, Wasfi Taher Saleh, and Mahasen Saleh Al-Talib. "The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information." Tikrit Journal of Pure Science 22, no. 5 (2023): 156–62. http://dx.doi.org/10.25130/tjps.v22i5.781.

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This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution. The prior information about the parameters of model is represented by probability distributions belong to conjugate families. It found that the posterior marginal probability distribution for parameters matrix (Φ) is a Matrix t distribution, The posterior marginal probability distribution of covariance matrix (Σ) is uncommon and the predictive probability di

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32

Ali, Farqad Jaber, and Mohammed Ali Rashied Dr. "Water Quality Assessment in Baghdad City at the Intakes of Three Water Treatment Plants." International Journal of Innovative Science and Research Technology 7, no. 12 (2023): 1578–83. https://doi.org/10.5281/zenodo.7527745.

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The Tigris river water in this study was evaluated at three water treatment plants in Baghdad city for six months from January 27, 2019, to August 28, 2019, the water assessment has been done by using the Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI) for a total of 540 samples of 12 parameters and the parameters are Turbidity, Total Hardness as CaCO3, Chloride, pH, Sulfate, Total dissolved solids, Iron, Fluoride, Nitrite, Nitrate, Ammonia, Faecal Coliform. The calculated CCMEWQI for the three water treatment plants as signal station WQI were; Sharq Dijla (61.64

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33

Pepinsky, Thomas B. "Visual heuristics for marginal effects plots." Research & Politics 5, no. 1 (2018): 205316801875666. http://dx.doi.org/10.1177/2053168018756668.

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Common visual heuristics used to interpret marginal effects plots are susceptible to Type-1 error. This susceptibility varies as a function of (a) sample size, (b) stochastic error in the true data generating process, and (c) the relative size of the main effects of the causal variable versus the moderator. I discuss simple alternatives to these standard visual heuristics that may improve inference and do not depend on regression parameters.

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34

Banovec, Primož, and Polona Domadenik. "Defining Economic Level of Losses in Shadow: Identification of Parameters and Optimization Framework." Proceedings 2, no. 11 (2018): 599. http://dx.doi.org/10.3390/proceedings2110599.

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Water losses are in focus of water supply management in last decades. Basic and widely accepted indicator is ILI Index, but is insufficient, when water resources are abundant, treatment costs low and energy consumption miniscule due to gravity. In such situation several authors introduced more detailed analysis defining “Economic Level of Leakage” (ELL) in short run. This analysis provides an insight into shadow market of leakages that is defined by marginal cost of water supplied on supply side and by marginal cost of repairs to mitigate water loss on demand side and provide empirical example

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35

Bell, B. M. "The marginal likelihood for parameters in a discrete Gauss-Markov process." IEEE Transactions on Signal Processing 48, no. 3 (2000): 870–73. http://dx.doi.org/10.1109/78.824682.

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36

Koller, Clarissa D., Tatiana Pereira-Cenci, and Noéli Boscato. "Parameters Associated with Marginal Bone Loss around Implant after Prosthetic Loading." Brazilian Dental Journal 27, no. 3 (2016): 292–97. http://dx.doi.org/10.1590/0103-6440201600874.

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Abstract This study evaluated retrospectively the association among occlusal, periodontal and implant-prosthetic parameters and marginal bone loss (MBL) around implants and survival rate at 5.7 ±3.2 years of follow-up after prosthetic loading. Eighty-two patients received 164 external hexagon implants. After the standard healing period (3 to 6 months), the implants were restored with single-tooth or up to three splinted crowns. All patients were followed according to a strict maintenance program with regular recalls and clinically evaluated by a calibrated examiner. The MBL measurements taken

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37

Ahmed, Anwaar, Tariq Usman Saeed, Jackeline Murillo-Hoyos, and Samuel Labi. "Pavement Repair Marginal Costs: Accounting for Heterogeneity Using Random-Parameters Regression." Journal of Infrastructure Systems 23, no. 4 (2017): 04017012. http://dx.doi.org/10.1061/(asce)is.1943-555x.0000367.

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38

Drichoutis, Andreas C., and Rodolfo M. Nayga. "Marginal Changes in Random Parameters Ordered Response Models with Interaction Terms." Econometric Reviews 30, no. 5 (2011): 565–76. http://dx.doi.org/10.1080/07474938.2011.553564.

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39

Felemban, Mohammed Fareed, Osama Khattak, Thani Alsharari, Abdulrahman H. Alzahrani, Kiran Kumar Ganji, and Azhar Iqbal. "Relationship between Deep Marginal Elevation and Periodontal Parameters: A Systematic Review." Medicina 59, no. 11 (2023): 1948. http://dx.doi.org/10.3390/medicina59111948.

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Background and Objectives: This review focuses on reviewing studies from the literature regarding the effects of deep margin elevation on the surrounding periodontium. Materials and Methods: A review of the literature was carried out using the following online databases: Embase, The Cochrane Library, MEDLINE-PubMed and Google Scholar. Our search was limited to articles from 2010 to 2023. The search terms consisted of keywords and MeSH terms, which were ‘deep margin elevation’, ‘coronal margin relocation’, ‘periodontium’ and ‘periodontal tissues’. The literature was searched thoroughly by two r

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40

Mumcu, Emre, and Ömür Dereci. "Assessment of the Effect of Clinical Independent Risk Factors on Marginal Bone Loss in 2-Implant–Supported Locator-Retained Mandibular Overdentures." Journal of Oral Implantology 45, no. 3 (2019): 207–12. http://dx.doi.org/10.1563/aaid-joi-d-18-00193.

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The objective of this study is to evaluate the effect of clinical parameters of gender, age, implant length, implant diameter, interimplant distance, and locator height on marginal bone loss in 2-implant–supported locator-retained mandibular overdenture prostheses in 6, 12, and 24 recall sessions after loading. Clinical and radiographic data of patients who were treated between January 1, 2014, and January 4, 2018, were retrieved from the archives. The clinical data of gender, age, implant length, implant diameter, and locator height were recorded. The mesial and distal marginal bone levels of

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41

Huber, Mark, and Nevena Marić. "Multivariate Distributions with Fixed Marginals and Correlations." Journal of Applied Probability 52, no. 02 (2015): 602–8. http://dx.doi.org/10.1017/s0021900200012675.

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Consider the problem of drawing random variates (X 1, …, X n ) from a distribution where the marginal of each X i is specified, as well as the correlation between every pair X i and X j . For given marginals, the Fréchet-Hoeffding bounds put a lower and upper bound on the correlation between X i and X j . Any achievable correlation between X i and X j is a convex combination of these bounds. We call the value λ(X i , X j ) ∈ [0, 1] of this convex combination the convexity parameter of (X i , X j ) with λ(X i , X j ) = 1 corresponding to the upper bound and maximal correlation. For given margin

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42

Wang, Mingliang, Anoop Upadhyay, and Lianjun Zhang. "Trivariate Distribution Modeling of Tree Diameter, Height, and Volume." Forest Science 56, no. 3 (2010): 290–300. http://dx.doi.org/10.1093/forestscience/56.3.290.

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Abstract Trivariate distribution models were constructed for tree diameter (D), height (H), and volume (V) using a normal copula (a mathematical function that joins or links marginal distribution functions to form multivariate distribution functions). The model parameters were estimated by a two-stage semiparametric method as follows: univariate distribution models were fitted separately for each tree variable, and then the copula dependency (correlation) parameters were independently estimated using empirical distribution functions to approximate the marginal models. Our results indicated tha

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43

Inoue, Hiroaki, Koji Hukushima, and Toshiaki Omori. "Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis–Hastings Method." Entropy 24, no. 1 (2022): 115. http://dx.doi.org/10.3390/e24010115.

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Extracting latent nonlinear dynamics from observed time-series data is important for understanding a dynamic system against the background of the observed data. A state space model is a probabilistic graphical model for time-series data, which describes the probabilistic dependence between latent variables at subsequent times and between latent variables and observations. Since, in many situations, the values of the parameters in the state space model are unknown, estimating the parameters from observations is an important task. The particle marginal Metropolis–Hastings (PMMH) method is a meth

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44

Reche, Fernando, María Morales, and Antonio Salmerón. "Statistical Parameters Based on Fuzzy Measures." Mathematics 8, no. 11 (2020): 2015. http://dx.doi.org/10.3390/math8112015.

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In this paper, we study the problem of defining statistical parameters when the uncertainty is expressed using a fuzzy measure. We extend the concept of monotone expectation in order to define a monotone variance and monotone moments. We also study parameters that allow the joint analysis of two functions defined over the same reference set. Finally, we propose some parameters over product spaces, considering the case in which a function over the product space is available and also the case in which such function is obtained by combining those in the marginal spaces.

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45

Sandu, Liliana, Sorin Porojan, and Florin Topală. "Marginal Adaptation of Cast Metallic Dental Crowns Using Microplasma Welding Procedures." Advanced Materials Research 383-390 (November 2011): 4051–57. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4051.

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Modern welding proceedings can be a beneficial method for repairing marginal adaptation defects in fixed prostheses technology. The aim of the study was to conduct experimental investigations to determine the optimal microplasma welding parameters according to the defect type. Different Ni-Cr alloy cast metal restorations with marginal defects were selected and divided depending on the repair possibility. A microplasma welding device, Welder, was used and as filling material a specific Ni-Cr wire was chosen. The process parameters were determined for each case. Introducing the practice of weld

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46

Şincar, Dorina-Cerasella, Mioara Decusară, Gabriela Popa, Gina-Păuniţa Grecu, and Gabriel-Valeriu Popa. "Evaluation of clinical and biological parameters concerning the implications of smoking on the periodontium." Romanian Journal of Stomatology 65, no. 1 (2019): 38–42. http://dx.doi.org/10.37897/rjs.2019.1.6.

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47

Faisal, Fachri, Henny Pramoedyo, Suci Astutik, and Achmad Efendi. "THE UNINFORMATIVE PRIOR OF JEFFREYS’ DISTRIBUTION IN BAYESIAN GEOGRAPHICALLY WEIGHTED REGRESSION." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 2 (2024): 1229–36. http://dx.doi.org/10.30598/barekengvol18iss2pp1229-1236.

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When using the Bayesian method for estimating parameters in a geographically weighted regression model, the choice of the prior distribution directly impacts the posterior distribution. The distribution known as the Jeffreys prior is an uninformative type of prior distribution and is invariant to reparameterization. In cases where information about the parameter is not available, the Jeffreys' prior is utilized. The data was fitted with an uninformative Jeffreys' prior distribution, which yielded a posterior distribution that was utilized for estimating parameters. This study aims to derive th

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Wen-Yi Wei, Wen-Yi Wei, Yu-Hsuan Chen Wen-Yi Wei, Chia-Dan Cheng Yu-Hsuan Chen, et al. "Soft Tissue Parameters and Esthetic Index Changes in Platform Switching Implant: A Systematic Review and Meta-Analysis." Journal of Periodontics and Implant Dentistry 5, no. 1 (2022): 038–48. http://dx.doi.org/10.53106/261634032022040501005.

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<p>Purpose: The purpose of this study was to perform a systematic review and meta-analysis to critically evaluate the available literature to statistically analyze the effects of platform matched (PM) and platform switching (PS) implants on the peri-implant soft tissue changes and esthetic outcomes. Materials and methods: Electronic databases of the Cochrane Library, Embase, CINAHL and PubMed were searched for human randomized controlled trials (RCTs) with clearly outcome measurement in comparison between PM and PS implant. Primary outcomes included midfacial keratinized gingiva (KG) thi

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Djordjevic, Miodrag, Miroslav Ristic, and Bogdan Pirkovic. "Identifying latent components of the TINAR(1) model." Filomat 35, no. 13 (2021): 4469–82. http://dx.doi.org/10.2298/fil2113469d.

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In this paper we give a solution for the problem of identifying and predicting latent components of the integer-valued time series with skewed Skellam marginal distribution. At the beginning, expressions for latent components identification and prediction are derived. These expressions give us a possibility of revealing the values of two hidden, immeasurable components which affect the integer-valued time series with skewed Skellam marginals. Yule-Walker estimators of the unknown parameters are obtained. Also, quality of identification and lag-one prediction is tested on simulated data. At the

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Ali, S. I., A. M. Mosallem, and T. Emam. "Aspects of Entropy Squeezing and Entanglement for Moving Two-Level Atom in Presence of Finite Trio Coherent State." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7455–59. http://dx.doi.org/10.1166/jctn.2016.5739.

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In this paper, we investigate the entanglement of the interaction of three modes of radiation field with moving and unmoving two-level atom. The time evolution of the von Neumann entropy, entropy squeezing and marginal atomic Wehrl entropy is investigated. The marginal atomic Wehrl entropy as squeezing indicator of the entanglement of the system is suggested. The results beacon the important roles played by both the atomic motion parameters in the evolution of entanglement, entropy squeezing and marginal atomic Wehrl entropy. Using special values of the photon number of transition and atomic m

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