Multiple Linear Panel Regression with Multiplicative Random Noise

2009 ◽  
pp. 399-417
Author(s):  
Hans Schneeweiß ◽  
Gerd Ronning
Keyword(s):  
Random Noise ◽  
Panel Regression

scholarly journals Panel Regression with Random Noise

2009 ◽  
Author(s):  
Gerd Ronning ◽  
Hans Schneeweiss
Keyword(s):  
Random Noise ◽  
Panel Regression

A method for direct measurement of specimen noise in HREM images

1993 ◽  
Vol 51 ◽  
pp. 458-459
Author(s):  
Sidnei Paciornik ◽  
Roar Kilaas ◽  
Ulrich Dahmen ◽  
Michael Adrian O'Keefe
Keyword(s):  
Random Noise ◽  
Image Interpretation ◽  
Thin Foil ◽  
High Resolution Electron Microscopy ◽  
Black Dot ◽  
Atomic Column ◽  
Amorphous Oxide ◽  
Resolution Electron ◽  
Imaging Conditions ◽  
Image Simulations

High resolution electron microscopy (HREM) is a primary tool for studying the atomic structure of defects in crystals. However, the quantitative analysis of defect structures is often seriously limited by specimen noise due to contamination or oxide layers on the surfaces of a thin foil.For simple monatomic structures such as fcc or bcc metals observed in directions where the crystal projects into well-separated atomic columns, HREM image interpretation is relatively simple: under weak phase object, Scherzer imaging conditions, each atomic column is imaged as a black dot. Variations in intensity and position of individual image dots can be due to variations in composition or location of atomic columns. Unfortunately, both types of variation may also arise from random noise superimposed on the periodic image due to an amorphous oxide or contamination film on the surfaces of the thin foil. For example, image simulations have shown that a layer of amorphous oxide (random noise) on the surfaces of a thin foil of perfect crystalline Si can lead to significant shifts in image intensities and centroid positions for individual atomic columns.

FAKTOR FAKTOR YANG MEMPENGARUHI PRODUK DOMESTIK BRUTO NEGARA-NEGARA ASEAN PERIODE 2005-2014

2017 ◽  
Vol 22 (1) ◽  
pp. 23-29
Author(s):  
Leorista Milliardo
Keyword(s):  
Economic Growth ◽  
Analytical Tool ◽  
Panel Regression ◽  
Estimation Model ◽  
Process Data ◽  
Factors Affecting ◽  
Goods And Services ◽  
Asean Member ◽  
Tourism Sector ◽  
Asean Countries

This study was conducted with the aim of identifying the factors affecting economic growth in ASEAN member countries during the period of 2005 - 2014, with the countries sampled in this study were six countries namely Indonesia, Singapore, Malaysia, Thailand, Philippines, Vietnam, Cambodia and Laos. The method of analysis used is the method of Data Panel Regression and Fixed Efect estimation model by using analytical tool to help process data is Eviews 7 program. While data used is panel data from eight ASEAN countries covering 10 year periods. The result of analysis shows that the acceptance of International Tourism Sector and Foreign Direct Investment has positive and significantinfluenceto the economic growth in eight ASEAN countries while the Labor Force is inconclusive. The study also found that Export of Goods and Services had a negative and significanteffect on economic growth.

Predictors of Hearing Electronic Voice Phenomena in Random Noise: Schizotypy, Fantasy Proneness, and Paranormal Beliefs

2020 ◽  
Vol 84 (1) ◽  
pp. 96-113
Author(s):  
Kenneth Drinkwater ◽  
Andrew Denovan ◽  
Neil Dagnall ◽  
Andrew Parker
Keyword(s):  
Random Noise ◽  
Fantasy Proneness ◽  
Paranormal Beliefs

PROFITABILITY, GROWTH OPPORTUNITIES, LEVERAGE, UKURAN PERUSAHAAN, DAN KEBIJAKAN DIVIDEN

2017 ◽  
Vol 2 ◽  
pp. 227-240
Author(s):  
Diyan Lestari
Keyword(s):  
Automotive Industry ◽  
Firm Value ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Secondary Data ◽  
Panel Regression ◽  
Positive Signal ◽  
Growth Opportunities ◽  
Return On Equity ◽  
Negative Effect

Dividend policy is one of the most important activities which investors will wait and interpret the action as a positive signal because it indicates the firm performance (a firm which distributes dividend considered has better performance). Dividend policy is a strategical decision since it will impact firm credibility and firm value. This study aims to analyze the effect of profitability, growth opportunities, leverage, and size on dividend policy in the automotive industry which listed in Indonesia Stock Exchange from 2009 to 2016. The automotive industry is one of Indonesian middle-class standard measurement and it will be the biggest automotive ASEAN market in 2019. We use secondary data and use pooling regression (panel regression) to analyze the result of the study. The result shows that profit margin, return on asset, and size has positive and statistically significant on dividend policy, growth opportunities has the negative effect and statistically significant on dividend policy, while return on equity and leverage do not affect the dividend policy. Keywords: Profitability, growth opportunities, leverage, firm size, dividend policy

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