A Graphical Illustration of Simple (Total) and Partial Regression

1972 ◽  
Vol 26 (5) ◽  
pp. 25-27
Author(s):  
Gary M. Mullet
Keyword(s):  
Partial Regression ◽  
Graphical Illustration

scholarly journals Functional Form Model Specification: An Application to Hedonic Pricing

1995 ◽  
Vol 24 (2) ◽  
pp. 166-173 ◽  
Author(s):  
Jeff E. Brown ◽  
Don E. Ethridge
Keyword(s):  
Functional Form ◽  
Hedonic Pricing ◽  
Hedonic Model ◽  
Model Specification ◽  
Estimation Accuracy ◽  
Hedonic Price ◽  
Partial Regression ◽  
Cotton Price ◽  
Residuals Analysis ◽  
Form Model

A combination of conceptual analysis and empirical analysis—partial regression and residuals analysis—was used to derive an appropriate functional form hedonic price model. These procedures are illustrated in the derivation of a functional form hedonic model for an automated, econometric daily cotton price reporting system for the Texas-Oklahoma cotton market. Following conceptualization to deduce the general shapes of relationships, the appropriate specific functional form was found by testing particular attribute transformations identified from partial regression analysis. Minimizing structural errors across attribute levels and estimation accuracy were used in determining when an appropriate functional form for both implicit and explicit prices was found.

2-D Analysis of Generalized Thermoelastic Porous Medium under the Effect of Laser Pulse and Microtemperature

2021 ◽  
pp. 2150126
Author(s):  
Amnah M. Alharbi ◽  
Mohamed I. A. Othman ◽  
Elsayed M. Abd-Elaziz
Keyword(s):  
Laser Pulse ◽  
Normal Mode Analysis ◽  
Moment Tensor ◽  
Elastic Half Space ◽  
Mode Analysis ◽  
Gaussian Laser Beam ◽  
Physical Response ◽  
Generalized Thermoelastic ◽  
Non Gaussian ◽  
Graphical Illustration

The paper presents the analytical solutions for a generalized thermoelastic medium consisting of microtemperatures and voids subjected to a laser pulse loading the medium thermally. The 0.02 ps pulse duration of the non-Gaussian laser beam is apt for heating a homogenous isotropic elastic half-space. A method called the normal mode analysis is employed to evaluate numerically the effects of various variables such as the micro-temperature vector, variation in the fraction field of the volume, first heat flux moment tensor, temperature distribution on the stresses and displacement components of the medium. In addition, the graphical illustration of the physical response of the medium has been presented in the presence and absence of void parameters, as well as in the presence of laser pulse with two different acting periods.

The first experience of application of vessel endothelium growth factor inhibitor ranibizumab in complex therapy of retinopathy of premature in URFO in SAHI of the Sverdlovsk region MСMC «Bonum»

2021 ◽  
pp. 360-362
Author(s):  
M.A. Kariakin ◽  
◽  
E.A. Stepanova ◽  
S.A. Korotkikh ◽  
N.S. Timofeeva ◽  
...  
Keyword(s):  
Retinal Detachment ◽  
Intravitreal Injection ◽  
Laser Treatment ◽  
Retinopathy Of Prematurity ◽  
Laser Coagulation ◽  
Complete Regression ◽  
Complex Treatment ◽  
Partial Regression ◽  
Factor Inhibitor ◽  
Retinal Adhesion

Material and methods. The study included 16 patients (31 eyes). Types and terms of treatment. Stage I in the treatment of ROP, laser coagulation of the avascular areas of the retina was performed in three patients with aggressive posterior ROP (4 eyes, 12.9%). In all patients, the progression of the disease was noted. Intravitreal injection of ranibizumab was performed in the period from 8 to 16 weeks (10.5±2.0 weeks), PCV from 32.3 to 39.6 weeks (37.0±1.8 weeks). Result. After laser treatment and IVI of ranibizumab, 11 patients (31 eyes, 81.6%) showed regression of the disease. In 5 patients (6 eyes, 19.4%) - progression. If the ROP progressed, a 25G or 27G lenssparing vitrectomy was performed. Complete regression of ROP was achieved in one patient (1 eye, 16.7%). Partial regression was observed in two patients (2 eyes, 33.3%). In two patients (3 eyes, 50%), the disease progressed to stage 5 with the development of total retinal detachment. Conclusion. As a result of the complex treatment of severe forms of the active stage of retinopathy of prematurity in the regional children's ophthalmological center MKMC "Bonum" in Yekaterinburg, the following data were obtained: complete regression with retinal adhesion is observed in 12 patients (26 eyes, 83.4%), of which in one patient (1 eye, 3.2%) regression was achieved after vitrectomy. Partial regression with the formation of a peripheral retinal detachment after vitrectomy was achieved in two patients (two eyes - 6.5%). Progression of retinopathy of prematurity to stage V with the development of total retinal detachment in two patients (3 eyes, 9.6%). Complex treatment of severe stages of active ROP using laser treatment, IVI and vitrectomy allows to preserve vision in 90.4% of patients. Key words: retinopathy of prematurity; intravitreal injection; laser coagulation of the retina; vitrectomy.

scholarly journals Drawing inferences for high‐dimensional linear models: A selection‐assisted partial regression and smoothing approach

Biometrics ◽  
2019 ◽  
Vol 75 (2) ◽  
pp. 551-561
Author(s):  
Zhe Fei ◽  
Ji Zhu ◽  
Moulinath Banerjee ◽  
Yi Li
Keyword(s):  
Linear Models ◽  
High Dimensional ◽  
Partial Regression

scholarly journals Analysis of dengue model with fractal-fractional Caputo–Fabrizio operator

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Fatmawati ◽  
Muhammad Altaf Khan ◽  
Cicik Alfiniyah ◽  
Ebraheem Alzahrani
Keyword(s):  
Statistical Data ◽  
Dengue Infection ◽  
Fractional Operator ◽  
Novel Approach ◽  
Reduction Number ◽  
Best Fitting ◽  
The Stability ◽  
Parameter Values ◽  
Graphical Illustration ◽  
Stability Results

AbstractIn this work, we study the dengue dynamics with fractal-factional Caputo–Fabrizio operator. We employ real statistical data of dengue infection cases of East Java, Indonesia, from 2018 and parameterize the dengue model. The estimated basic reduction number for this dataset is $\mathcal{R}_{0}\approx2.2020$ R 0 ≈ 2.2020 . We briefly show the stability results of the model for the case when the basic reproduction number is $\mathcal{R}_{0} <1$ R 0 < 1 . We apply the fractal-fractional operator in the framework of Caputo–Fabrizio to the model and present its numerical solution by using a novel approach. The parameter values estimated for the model are used to compare with fractal-fractional operator, and we suggest that the fractal-fractional operator provides the best fitting for real cases of dengue infection when varying the values of both operators’ orders. We suggest some more graphical illustration for the model variables with various orders of fractal and fractional.

scholarly journals STUDY OF THE POSSIBILITIES OF PREOPERATIVE CHEMOTHERAPY IN MULTIPLE METASTASIS OF COLORECTAL CANCER IN THE LIVER

2020 ◽  
Vol 1 (8(77)) ◽  
pp. 8-11
Author(s):  
Kh.D. Islamov ◽  
Sh.Kh. Niyozova
Keyword(s):  
Colorectal Cancer ◽  
Side Effects ◽  
Liver Metastases ◽  
Preoperative Chemotherapy ◽  
High Frequency ◽  
Partial Regression ◽  
Multiple Metastasis ◽  
Preoperative Ct ◽  
Multiple Liver Metastases ◽  
Surgical Operations

Preoperative chemotherapy (CT) in 35 patients with colorectal cancer (CRC) with liver metastases demonstrated a high frequency of objective effects - in 22 (62.9%) patients, stabilization was noted in 10 (28.6%) cases. With bilobar liver metastases and the use of oxaliplatin-containing regimens, partial regression was 62.9%. Side effects in most cases were clinically insignificant, no deaths were observed. The results obtained demonstrate the possibility of performing extended surgical operations in the majority of CRC patients with multiple liver metastases after preoperative CT.

COMPARISON OF OBSERVATIONS AND MACROCLIMATIC MODEL ESTIMATES OF MONTHLY WINTER SOIL TEMPERATURES AT OTTAWA

1985 ◽  
Vol 65 (1) ◽  
pp. 109-122 ◽  
Author(s):  
L. M. DWYER ◽  
H. N. HAYHOE
Keyword(s):  
Snow Cover ◽  
Predictive Models ◽  
Regression Models ◽  
Stepwise Regression ◽  
Regression Coefficients ◽  
Data Sets ◽  
Regression Equations ◽  
Grass Cover ◽  
Partial Regression ◽  
Soil Temperatures

Estimates of monthly soil temperatures under short-grass cover across Canada using a macroclimatic model (Ouellet 1973a) were compared to monthly averages of soil temperatures monitored over winter at Ottawa between November 1959 and April 1981. Although the fit between monthly estimates and Ottawa observations was generally good (R for all months and depths 0.10, 0.20, 0.50, 1.00 and 1.50 m was 0.90), it was noted that midwinter estimates were generally below observed temperatures at all soil depths. Data sets used in the development of the original Ouellet (1973a) multiple regression equations were collected from stations across Canada, many of which have reduced snow cover. It was found that the buffering capability of the snow cover accumulated at Ottawa during the winter months was underestimated by the pertinent partial regression coefficients in these equations. The coefficients were therefore modified for the Ottawa station during the winter months. The resultant regression models were used to estimate soil temperature during the winters of 1981–1982 and 1982–1983. Although the Ottawa-based models included fewer variables because of the smaller data base available from a single site, comparisons of model estimates and observations were good (R = 0.84 and 0.91) and midwinter estimates were not consistently underestimated as they were using the original Ouellet (1973a) model. Reliable monthly estimates of soil temperatures are important since they are a necessary input to more detailed predictive models of daily soil temperatures. Key words: Regression model, snowcover, stepwise regression, variable selection

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