
Estimator and regression estimator
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This study seeks to comprehend the influencing factors on the economic growth of the pivotal economic region in the Southwest. The authors conducted research based on the dataset from four provinces and cities in the region during the period 2005-2022, employing panel data estimation methods such as OLS pooled regression, fixed effects (FEM), and random effects (REM).
7p
viengfa
28-10-2024
1
1
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Phương pháp thống kê (statistics) đã được sử dụng từ lâu trong nhiều ngành kinh tế, y khoa, nông nghiệp, sinh học,môi trường … Các phương pháp thống kê toán học là : Thống kê mô tả (descriptive statistics) Thống kê suy diễn (Inferential statistics) Ước lượng và trắc nghiệm (Estimation and testing) Phân tích tương quan (hồi quy) (Regression analysis) Phân tích chuỗi thời gian (Time series analysis) 5 nhiệm vụ xử lý dữ liệu môi trường : 1). Phân tích dữ liệu điều tra các yếu tố môi trường (đất, nước, không khí …) phục vụ cho việc đánh...
109p
bunag204
05-05-2013
209
35
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Các phương pháp thống kê toán học là : Thống kê mô tả (descriptive statistics); Thống kê suy diễn (Inferential statistics); Ước lượng và trắc nghiệm (Estimation and testing); Phân tích tương quan (hồi quy) (Regression analysis); Phân tích chuỗi thời gian (Time series analysis)
27p
linhlan1903
04-11-2013
215
41
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The study applies quantitative method on non-balanced panel samples of Vietnamese listed firms which are extracted from the Thomson Reuters database and manually collected from companies’ annual reports. All the regressions are estimated by Generalized Least Squared (GLS) method to fix the heteroscedasticity problem and robusted by Generalized Method of Moment (GMM) for endogeneitity potential.
24p
kequaidan6
15-07-2020
27
1
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The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed here will serve as an alternative model to the other models which are available in the literature for modeling positive real data in many areas.
11p
guineverehuynh
22-06-2020
19
1
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The present article discusses the application of linear regression, scaling factors (SF) and the so-called “mean activity method” to estimate the activity of DTM nuclides on metallic waste produced at the European Organization for Nuclear Research (CERN).
11p
christabelhuynh
30-05-2020
13
2
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Chapter 15 - Multiple regression and model building. After mastering the material in this chapter, you will be able to: Explain the multiple regression model and the related least squares point estimates, explain the assumptions behind multiple regression and calculate the standard error, calculate and interpret the multiple and adjusted multiple coefficients of determination,...
15p
whocare_b
05-09-2016
69
2
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Chapter 14 - Simple linear regression analysis. After mastering the material in this chapter, you will be able to: Explain the simple linear regression model, find the least squares point estimates of the slope and y-intercept, describe the assumptions behind simple linear regression and calculate the standard error,...
14p
whocare_b
05-09-2016
53
1
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The main purposes of this study are: To estimate the wage regression in Vietnam, To examine the existence of gender and urban/rural wage gap, and to decompose these wage gaps to clarify whether there are wage discrimination in Vietnam throughout the wage distribution.
28p
change03
06-05-2016
67
4
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ESSAYS ON TOTAL FACTOR PRODUCTIVITY AND HUMAN CAPITAL In fact, I do not estimate separate regressions for each MSA, but the general effect is the same: Unreliability of the peer group measure produces an upward bias in the effect of choice on the peer group gradient, and therefore in the interaction coefficient 1 ϕ
146p
mualan_mualan
25-02-2013
59
9
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Essays in Macroeconomics and the Economics of Higher Education In single-MSA regressions of test scores on student characteristics, the above arguments imply greater attenuation of the peer group coefficient in MSAs with less stratified schools. As choice is positively correlated with stratification, this produces a tendency toward larger estimated coefficients (i.e. less bias toward zero) in high-choice MSAs.
134p
mualan_mualan
25-02-2013
50
9
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THE RELATIONSHIP OF CROSS-CULTURAL DIFFRECES TO THE VALUES OF INFORMATION SYSTEMS PROFESTIONAL WITHIN THE CONTEXT OF SYSTEMS DEVELOPMENT For each (δ , J) combination, I estimated a regression of μ j on x j analogous to those estimated from actual data in Section 1.5, pooling all 5,000 simulated markets and including a fixed effect for each. The resulting estimates of ( ) ( ) ( ) θ δ , J = cov x j ,μ j var x j are displayed in Figure 1.3. The trends identified in Figures 1.1 and 1.2 are again clear. First,...
113p
mualan_mualan
25-02-2013
61
7
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AN EXAMINATION OF THE CONFORMANCE OF BANK INTERNAL AUDITORS WITH INTERNAL AUDITING STANDARS Recall equation (3), which suggested that a naïve estimate of the peer effect is magnified by effectiveness sorting, with the degree of magnification being ( ) ( ) θ * ≡ cov x j ,μ j var x j , the coefficient from a regression of μ j on x j across all districts in the market. θ * = 1 in the perfectly sorted markets displayed in Panels A, B, C, and E of Figure 1.1, indicating that the slope of school-level average test scores with respect to student characteristics in...
242p
mualan_mualan
25-02-2013
101
16
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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Deregressing estimated breeding values and weighting information for genomic regression analyses
8p
toshiba18
08-11-2011
62
4
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1) Introduction The estimates of the regression parameters are influenced by a few extreme observations. The residual plot may let us pick out, which the individual data points are high or low. We may use the residual plot to find the outlier, which are inadequately captured by the regression model itself.
8p
truongdoan
10-11-2009
106
8
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