Eigenvalue Distribution of Correlation Matrix in Asynchronous CDMA with Infinite Observation Window Width

2007 ◽  
Author(s):  
Chien-Hwa Hwang
Keyword(s):  
Correlation Matrix ◽  
Eigenvalue Distribution ◽  
Observation Window ◽  
Window Width ◽  
Asynchronous Cdma

On the asymptotic behavior of the eigenvalue distribution of block correlation matrices of high-dimensional time series

2021 ◽  
Author(s):  
Philippe Loubaton ◽  
Xavier Mestre
Keyword(s):  
Time Series ◽  
Correlation Matrix ◽  
Cross Correlation ◽  
Eigenvalue Distribution ◽  
Time Lags ◽  
Correlation Matrices ◽  
Consecutive Time ◽  
Spectral Statistics ◽  
Mutually Independent ◽  
Scalar Time Series

We consider linear spectral statistics built from the block-normalized correlation matrix of a set of [Formula: see text] mutually independent scalar time series. This matrix is composed of [Formula: see text] blocks. Each block has size [Formula: see text] and contains the sample cross-correlation measured at [Formula: see text] consecutive time lags between each pair of time series. Let [Formula: see text] denote the total number of consecutively observed windows that are used to estimate these correlation matrices. We analyze the asymptotic regime where [Formula: see text] while [Formula: see text], [Formula: see text]. We study the behavior of linear statistics of the eigenvalues of this block correlation matrix under these asymptotic conditions and show that the empirical eigenvalue distribution converges to a Marcenko–Pastur distribution. Our results are potentially useful in order to address the problem of testing whether a large number of time series are uncorrelated or not.

Expressed Emotion in the Client-Professional Dyad

2004 ◽  
Vol 20 (4) ◽  
pp. 237-246 ◽  
Author(s):  
G. Van Humbeeck ◽  
Ch. Van Audenhove ◽  
G. Storms ◽  
M. De Hert ◽  
G. Pieters ◽  
...  
Keyword(s):  
Therapeutic Relationship ◽  
Correlation Matrix ◽  
Concurrent Validity ◽  
Positive Relationship ◽  
Expressed Emotion ◽  
Family Interview ◽  
Insufficient Time ◽  
Perceived Criticism

Summary: Background: This article reports on a study of the concurrent validity between the standard expressed emotion instrument, the Camberwell Family Interview (CFI), and two alternative EE measures, the Level of Expressed Emotion (LEE) and the Perceived Criticism Scale (PCS). Methods: The research sample consisted of 56 schizophrenic clients, who were residing in sheltered residences, and 56 professionals. Results: Based on the results of the correlation matrix between all the subscales of the instruments, a significantly positive relationship was found between the criticism scale of the CFI, the total score of the LEE, and the client version of the PCS. These correlations, however, were rather weak, which implies that the three instruments have little in common with each other. The professionals' version of the PCS does not appear to be an EE instrument. Conclusions: The results suggest that the CFI still remains the best instrument for assessing EE in a therapeutic relationship (between a professional and a client). If there is insufficient time to administer the CFI, then the client version of the PCS and the LEE can be used with the qualification that the PCS and LEE also measure other aspects and thus cannot completely replace the CFI. Nevertheless, the research indicates that asking the clients would seem to provide a better indication of the level of the professionals' criticism rather than asking the professionals themselves directly.

The Structure Among Measures of Personality, Social Attitudes, Values, and Social Norms

2007 ◽  
Vol 28 (4) ◽  
pp. 240-251 ◽  
Author(s):  
Lazar Stankov
Keyword(s):  
Factor Analysis ◽  
Individual Differences ◽  
Social Norms ◽  
Social Interactions ◽  
Correlation Matrix ◽  
Social Attitudes ◽  
Group Differences ◽  
Factor Scores ◽  
Ethnic Group Differences ◽  
Inside Out

Abstract. This paper presents the results of a study that employed measures of personality, social attitudes, values, and social norms that have been the focus of recent research in individual differences. These measures were given to a sample of participants (N = 1,255) who were enrolled at 25 US colleges and universities. Factor analysis of the correlation matrix produced four factors. Three of these factors corresponded to the domains of Personality/Amoral Social Attitudes, Values, and Social Norms; one factor, Conservatism, cut across the domains. Cognitive ability showed negative correlation with conservatism and amoral social attitudes. The study also examined gender and ethnic group differences on factor scores. The overall interpretation of the findings is consistent with the inside-out view of human social interactions.

Professional Stress among Junior Commissioned Officers and Non Commissioned Officers of Indian Military Intelligence – A Case Study

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 133-145
Author(s):  
Dr. S. S. Nirmala ◽  
Dr. N. Kogila ◽  
T. Porkodi
Keyword(s):  
Factor Analysis ◽  
Correlation Matrix ◽  
Null Hypothesis ◽  
Primary Data ◽  
Questionnaire Data ◽  
Military Intelligence ◽  
Sphericity Test ◽  
Professional Stress ◽  
Structured Questionnaire

The present study is focusing on the professional stress on organisation among the Junior Commissioned Officers (JCOs) and Non-Commissioned Officers (NCOs) of Indian Military Intelligence. 384 samples of Military Intelligence personnel will be taken for this study. Sources of data is Primary data include a structured questionnaire. Data was collected through structured questionnaire and measure through Likert’s scale, using KMO measure of sampling adequacy, Cronbach’s alpha for checking internal consistency, Bartlett sphericity test for testing the null hypothesis and various factor analysis including Eigenvalues, Extract square Sum loading, variance percent and Accumulation percent values relative comparison and Correlation matrix will be used as tools to arrive at desired results and statistical interpretations. The hypotheses put for test and the resultant values at 0.01 and 0.05 (for different factors) clearly indicated that there is an existence of association between different level of cadres and professional stress among personnel of Indian Military Intelligence. The authority who can formulate the rules and regulations and binding them on the lower cadres and professions to accept and adopt.

FAKTOR YANG MEMPENGARUHI KUNJUNGAN WISATA PADA OBYEK WISATA SENDANG ASRI WADUK GAJAH MUNGKUR WONOGIRI

ProBank ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 233-250
Author(s):  
Winarna Winarna ◽  
Nanik Irma Susanti
Keyword(s):  
Intellectual Property Rights ◽  
Random Sampling ◽  
Correlation Matrix ◽  
Swot Analysis ◽  
Cultural Tourism ◽  
Formation Factor ◽  
Analysis Techniques ◽  
Tourist Destinations ◽  
Model Determination ◽  
Scientific Meetings

Tourism Object Sendang Asri Gajah Mungkur Reservoir is the most visited tourist destinations compared to other tourist objects in the Wonogiri region. The uniqueness that is owned by the tourism object of Sendang Asri is often held certain events such as new year, Idul Fitri holidays, the title of cultural tourism and so on which at that time the number of visitors far beyond the ordinary day. Many factors affect the amount of tourist visits, especially in Tourism Object of Sendang Asri Gajah Mungkur Reservoir such as existing facilities, ease of location, uniqueness and service, price and beauty and scarcity of objects.This research aimed to test whether factors which researchers convey the above  have effect excursions on tourism visit to tourism object of Sendang Asri Wonogiri. With this research is expected the manager can take strategy in managing this area. In   this research  into the  object  is  the  visitor  of  tourism  object  of  Sendang  Asri  Gajah Mungkur Reservoir. Because of the limitations of the researchers, the researchers used samples with convenience Random Sampling. Data analysis techniques used were factor analysis with variable determination stage, correlation matrix formation, factor extraction, matrix rotation, model determination test and SWOT analysis. Expected research outputs are publications in International journals, Materials to be submitted in scientific meetings, simple Intellectual Property Rights and teaching materials lectures.

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