DYNAMIC CORRELATION ANALYSIS

Geophysics ◽  
1968 ◽  
Vol 33 (1) ◽  
pp. 105-126 ◽  
Author(s):  
William A. Schneider ◽  
Milo M. Backus

A computer analysis technique is described for use in conjunction with reflection seismic data shot for conventional common‐depth‐point (CDP) stacking, with the objective of providing a space‐time variant measure of the energy relationships among CDP traces. This energy analysis may be interpreted to yield an estimate of the relative contribution of primary and multiple reflections versus record time, their velocity functions, and the fraction of uncorrelated energy which is present. These data, in addition to their interpretive value, provide a space‐time variant model of the signal and noise fields for use in the design of optimum CDP stacking filters. The heart of the method is based upon crosscorrelations computed between CDP traces from numerous sequential short data gates along the trace. These are averaged over an ensemble of like members obtained along the line of profiles and manipulated to yield a reliable estimate of the cross correlation peak amplitude and delay upon which the primary and multiple velocity and energy assignments are based. The technique is illustrated with six‐fold marine data from the Gulf of Mexico to demonstrate how it can be used in practice as a valuable analysis tool for the exploration geophysicist.

2019 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Heru Heryanto ◽  
Nur Laela ◽  
Riana R Dewi

This study aims to determine the significance of the influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality. This study uses a questionnaire with a population and sample, namely all auditors who work at the Public Accounting Office (KAP) in the Special Region of Yogyakarta and Surakarta. Sampling techniques using Convenience Sampling with a sample of 61 respondents. The data used in this study is a questionnaire using a Likert scale 1 to 5. The data analysis technique used in this study is multiple linear regression using the SPSSprogram for Windows. The analysis tool in this study using validity and reliability, the classical assumption (normality test, multicollinearity, heteroscedasticity test and autocorrelation test) while the data were analyzed using multiple linear regression test, t test, F test and the coefficient of determination (R2).Based on the results of the t-test analysis performed, it shows that there is a positive influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality and simultaneously competency, independence, professionalism, auditor experience, accountability, and auditor knowledge variables affect quality audit


2020 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Intan Elita ◽  
K. Bagus Wardianto ◽  
M. Iqbal Harori

This study aims to measure the accuracy of technical analysis using the Bollinger Band indicator in predicting stock prices in the middle of pandemic covid-19. The concept in this study is to compare daily stock price predictions according to technical indicators with the closing prices that occured on that day. Sample selection technique used in this research used a purposive sampling method and obtained 9 pharmaceutical sub-sector companies listed on the IDX from February to April 2020. The type of data used is a chart of the company's daily stock price movements obtained from finance.yahoo.com. The data analysis technique used was the paired sample t-test and used the SPSS 26 analysis tool. The results of this study indicate that the Bollinger indicator does not have a significant difference. ABSTRAK Penelitian ini bertujuan untuk mengukur keakuratan analisis teknikal dengan indikator Bollinger Band dalam memprediksi harga saham pada masa pandemi Covid-19. Konsep pada penelitian ini adalah membandingkan prediksi harga saham harian menurut indikator teknikal dengan harga penutupan yang terjadi pada hari tersebut. Teknik pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dan diperoleh sebanyak 9 perusahaan sub sektor farmasi yang terdaftar di BEI selama Februari hingga April 2020. Jenis data yang digunakan yaitu berupa grafik pergerakan harga saham harian perusahaan yang diperoleh dari finance.yahoo.com. Teknik analisis data yang digunakan adalah uji independent sample t-test dan menggunakan alat analisis program SPSS 26. Hasil penelitian ini menunjukkan bahwa indikator Bollinger tidak memiliki perbedaan yang signifikan.


Author(s):  
Rafael Vila-Candel ◽  
Anna Martín ◽  
Ramón Escuriet ◽  
Enrique Castro-Sánchez ◽  
Francisco Javier Soriano-Vidal

Background: The WHO recommends the use of the Robson ten-group classification system (RTGCS) as an effective monitoring and analysis tool to assess the use of caesarean sections (CS). The present study aimed to conduct an analysis of births using the RTGCS in La Ribera University Hospital over nine years and to assess the levels and trends of CS births. Methods: Retrospective study between January 1, 2010, and December 31, 2018. All eligible women were allocated in RTGCS to determine the absolute and relative contribution made by each group to the overall CS rate; linear regression and weighted least squares regression analysis were used to analyze trends over time. The risk of CS of women with induced versus spontaneous onset of labor was calculated with an odds ratio (OR) with a 95% CI. Results: 16,506 women gave birth during the study period, 19% of them by CS. Overall, 20.4% of women were in group 1 (nulliparous, singleton cephalic, term, spontaneous labor), 29.4% in group 2 (nulliparous, singleton cephalic, term, induced labor or caesarean before labor), and 12.8% in group 4 (multiparous, singleton cephalic, term, induced or caesarean delivery before labor) made the most significant contributions to the overall rate of CS; Conclusions: In our study, Robson Groups 1, 2, and 4, were identified as the main contributors to the hospital’s overall CS rate. The RTGCS provides an easy way of collecting information about the CS rate, is a valuable clinical method that allows standardized comparison of data, and time point, and identifies the groups driving changes in CS rates.


2011 ◽  
Vol 8 (5) ◽  
pp. 899-903 ◽  
Author(s):  
Chun-mao Yeh ◽  
Jian Yang ◽  
Ying-ning Peng ◽  
Xiu-ming Shan

Geophysics ◽  
1949 ◽  
Vol 14 (3) ◽  
pp. 357-360
Author(s):  
G. E. Higgins

It was most interesting to read the January 1948 issue of Geophysics which was devoted to articles on multiple reflections and I would endorse the plea of Mr. Robert H. Mansfield for an issue of Geophysics to be devoted to the troublesome problems of offside energy in seismic prospecting. Trinidad has recently been the scene of intensive geophysical investigation, both gravimeter and reflection on seismic, and while neither method gives unambiguous answers to the local geologic problems, it is about the reflection seismic results which I should like to discuss. The first period of intensive seismic investigation in Trinidad was during 1938–1939 and certain anomalies observed then received further investigation during 1946–1947. During both periods of investigation, two particular phenomena were observed which may be called: 1. Near‐shore effect. 2. Coning.


2005 ◽  
Vol 5 (1) ◽  
pp. 101-108 ◽  
Author(s):  
R. Corrado ◽  
R. Caputo ◽  
C. Filizzola ◽  
N. Pergola ◽  
C. Pietrapertosa ◽  
...  

Abstract. Space-time TIR anomalies, observed from months to weeks before earthquake occurrence, have been suggested by several authors as pre-seismic signals. Up to now, such a claimed connection of TIR emission with seismic activity has been considered with some caution by scientific community mainly for the insufficiency of the validation data-sets and the scarce importance attached by those authors to other causes (e.g. meteorological) that, rather than seismic activity, could be responsible for the observed TIR signal fluctuations. A robust satellite data analysis technique (RAT) has been recently proposed which, thanks to a well-founded definition of TIR anomaly, seems to be able to identify anomalous space-time TIR signal transients even in very variable observational (satellite view angle, land topography and coverage, etc.) and natural (e.g. meteorological) conditions. Its possible application to satellite TIR surveys in seismically active regions has been already tested in the case of several earthquakes (Irpinia: 23 November 1980, Athens: 7 September 1999, Izmit: 17 August 1999) of magnitude higher than 5.5 by using a validation/confutation approach, devoted to verify the presence/absence of anomalous space-time TIR transients in the presence/absence of seismic activity. In these cases, a magnitude threshold (generally M<5) was arbitrarily chosen in order to identify seismically unperturbed periods for confutation purposes. In this work, 9 medium-low magnitude (4<Mb<5.5) earthquakes which occurred in Greece and Turkey have been analyzed in order to verify if, even in these cases, anomalous TIR transients can be observed. The analysis, which was performed using 8 years of Meteosat TIR observations, demonstrated that anomalous TIR transients can be observed even in the presence of medium-low magnitude earthquakes (4<Mb<5.5). As far as the research (just started) of possible correlation among TIR anomalies and earthquake occurrence is concerned, such a result suggests that: a) in order to identify seismically unperturbed periods for confutation purposes, a magnitude threshold (at least) lower than 4 should be used; b) the proposed validation/confutation approach should be applied in low-seismicity areas in order to find suitably long seismically quiescent periods.


2020 ◽  
Vol 9 (3) ◽  
pp. 188
Author(s):  
Yunita Dewi Safitri ◽  
Robiyanto Robiyanto

Changes in the situation that move very quickly on the commodity market have an impact on financial markets, one of which is the stock market in Indonesia. Therefore this study aims to examine the dynamic correlation between the movement of world oil prices and the Sectoral Stock Price Index listed on the Indonesia Stock Exchange (IDX). The data used is obtained from secondary data in the form of daily closing price data for world oil prices and Sectoral Stock Price Index from January 2017 to June 2020. The analysis technique used is Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH), due to previous studies mostly using a static approach. The results of this study show that the DCC-GARCH value between world oil prices (Brent and WTI) and Sectoral Stock Price Index tends to be very weak. A negative dynamic correlation was also found in the Consumer Goods Sector. This research can be a reference for investors who want to invest stocks in Indonesia by looking at the correlation between world oil prices and the Sectoral Stock Price Index.


Author(s):  
Monica Harmanescu ◽  
Veronica Sarateanu

The grassland forage must be monitored related to the quantitative and qualitative parameters. Festuca rupicola is one of the grass desired in grassland forage. It is necessary to have accessible statistical tools to monitor the Festuca rupicola biodynamic. The objective of the present research was to study that multivariate analysis technique Principal Components & Classification Analysis (PC&CA) can be used as a statistical tool for the estimation of Festuca rupicola biodynamic dependent of the fertilisation. The experimental results for Festuca rupicola cutting were collected in June and August 2009 from a hill permanent grassland ecosystem, with a substances flow anthropic influenced by the application of mineral and organic (sheep manure) fertilisers. The hill permanent grassland was situated in Banat, Romania, on a Calcic Luvisol. It was selected eight trials as PC&CA cases, the Festuca rupicola biodynamic data as supplementary variables, and as active variables the fertilisation data and ecological soil parameters. The correlation coefficients of Festuca rupicola biodynamic parameters (Fr1 and Fr2) were positively in mineral fertilisation case and negatively for sheep manure application. The Festuca rupicola biodynamic in June 2009 was high positive correlated with the Festuca rupicola biodynamic in August 2009 (0.835). The statistical data performed in the present study have shown that the multivariate analysis technique PC&CA can be used as a statistical tool for the estimation of Festuca rupicola biodymamic dependent of the mineral and/or organic fertilisation of hill grassland ecosystem.


Author(s):  
Siti Salbiyah

The Theory of Planning Behavior Research (TPB) has a significant role in the performance of students with Jigsaw Cooperative Learning as a moderating variable. In this study, Cooperative Learning Type Jigsaw was chosen as moderating the relationship between Planned Behavior Theory (TPB) and student acquisition. The population used was 313 third semester students of management and accounting study program of FEB UM Surabaya. The sampling technique used is the Issac and Michael Tables to determine the sample size of 147 respondents. The analysis technique used is a Moderated Regression Analysis (MRA) analysis tool. The results of this research show (1) The Theory of Planned Behavior (TPB) does not significantly influence student performance, (2) Jigsaw Cooperative Learning does not moderate the effect of the Planned Behavior Theory (TPB) on student performance. Kata kunci      :Theory Planned Behavior,  Cooperative Learning Tipe Jigsaw, kinerja mahasiswa


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