scholarly journals Numerical Evaluation of Contributions of Pollutant Sources Extracted by Constrained Oblique Rotational Factor Analysis for Precipitation Data. Extraction of Features of Precipitations at Hyogo and Akita Areas.

1997 ◽  
Vol 13 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Toru OZEKI ◽  
Kunichika KOIDE ◽  
Nobuaki OGAWA ◽  
Tetsuya ADZUHATA ◽  
Masahiro KAJIKAWA ◽  
...  
2000 ◽  
Vol 54 (4) ◽  
pp. 279-283 ◽  
Author(s):  
Nobuaki Ogawa ◽  
Ryoei Kikuchi ◽  
Tomoko Okamura ◽  
Junko Inotsume ◽  
Tetsuya Adzuhata ◽  
...  

2008 ◽  
Vol 16 ◽  
pp. 55-62 ◽  
Author(s):  
P. T. Nastos ◽  
C. S. Zerefos

Abstract. The changes in daily precipitation totals in Greece, during the 45-year period (1957–2001) are examined. The precipitation datasets concern daily totals recorded at 21 surface meteorological stations of the Hellenic National Meteorological Service, which are uniformly distributed over the Greek region. First and foremost, the application of Factor Analysis resulted in grouping the meteorological stations with similar variation in time. The main sub groups represent the northern, southern, western, eastern and central regions of Greece with common precipitation characteristics. For representative stations of the extracted sub groups we estimated the trends and the time variability for the number of days (%) exceeding 30 mm (equal to the 95% percentile of daily precipitation for eastern and western regions and equal to the 97.5% percentile for the rest of the country) and 50 mm which is the threshold for very extreme and rare events. Furthermore, the scale and shape parameters of the well fitted gamma distribution to the daily precipitation data with respect to the whole examined period and to the 10-year sub periods reveal the changes in the intensity of the precipitation.


1998 ◽  
Vol 47 (8) ◽  
pp. 503-511 ◽  
Author(s):  
Nobuaki OGAWA ◽  
Ryoei KIKUCHI ◽  
Hiroshi GOTO ◽  
Masahiro KAJIKAWA ◽  
Toru OZEKI

2020 ◽  
Author(s):  
Hao Zhang ◽  
Tibor Schuster

Abstract Background: Bayesian factor analysis allows for efficient use of preliminary data and information that corresponds to the increasing needs of questionnaire construct validation in primary care research. This systematic review will summarise evidence on the current use of Bayesian factor analysis in primary care.Methods: We will adopt a comprehensive search strategy to identify relevant literature (research studies in primary care) indexed in PubMed, Medline, Scopus, EMBASE, CINAHL and Cochrane Library. The search strategy will include terms (and synonyms) for Bayesian statistics, factor analysis and primary care. We will conduct forward and backward searches manually on the references of articles that meet the inclusion and exclusion criteria to further identify eligible studies. Multiple reviewers will conduct data extraction independently. The analyses will include descriptive synthesis summarizing features about the use and reporting of the respective Bayesian factor analysis approach.Discussion: This systematic review will provide a bird view of the current use of Bayesian factor analysis in primary care and provide recommendations for its proper future use in primary care and beyond. Systematic review registration : PROSPERO registration number: CRD42018114978 Keywords: Bayesian, factor analysis, primary care, family medicine


Methodology ◽  
2011 ◽  
Vol 7 (2) ◽  
pp. 39-55 ◽  
Author(s):  
Fiona Dziopa ◽  
Kathy Ahern

Q-methodology is a technique incorporating the benefits of both qualitative and quantitative research. Q-method involves Q-sorting, a method of data collection and factor analysis, to assess subjective (qualitative) information. The use of Q-sorting and factor analysis has often resulted in the misconception that Q-methodology involves psychometric or quantitative assessment, although Q as a methodology actually enables the systematic assessment of qualitative data. Misconceptions regarding Q have resulted in a heterogeneous collection of Q-applications in the extant literature, which has obscured the fundamental principles of Q-methodology. The purpose of this paper is to present a systematic review of Q-based research to investigate the criteria researchers have used to develop Q-studies. Published research studies between January 2008 and December 2008 that employed Q-techniques and methodology were assessed. Data were extracted and synthesized through the development and use of the Assessment and Review Instrument for Q-methodology (ARIQ). Fourteen research studies met the inclusion criteria for the review. The Q-methodological studies were disparate in their application of terminology, instrument development, and factor analysis, although data extraction and synthesis processes revealed two types of studies: those which aimed to apply conventional Q-methodology and those which applied variations of Q-techniques. It is concluded that variations of Q-technique and its methodology are unavoidable. However, this does not obviate the need for researchers to explicitly state their rationale for decisions to deviate from conventional Q-methodology if they are to produce demonstrably valid research. The review instrument (ARIQ) developed for this review will facilitate this end.


1995 ◽  
Vol 29 (6) ◽  
pp. 1638-1645 ◽  
Author(s):  
Toru. Ozeki ◽  
Kunichika. Koide ◽  
Takashi. Kimoto

2020 ◽  
Author(s):  
Hao Zhang ◽  
Tibor Schuster

Abstract Background: Bayesian factor analysis allows for efficient use of preliminary data and information that corresponds to the increasing needs of questionnaire construct validation in primary care research. This systematic review will summarise evidence on the current use of Bayesian factor analysis in primary care.Methods: A comprehensive search strategy will be adopted to identify relevant literature (research studies in primary care) indexed in Medline, Scopus, EMBASE, CINAHL and Cochrane Library. The search strategy includes terms and synonyms for Bayesian statistics, factor analysis and primary care. Forward and backward searches will be conducted manually on the references of articles that meet the inclusion and exclusion criteria to further identify eligible studies. Multiple reviewers will conduct data extraction independently. The analyses will include descriptive synthesis summarizing features about the use and reporting of the respective Bayesian factor analysis approach in primary care. Discussion: This systematic review will provide a comprehensive overview of the current use of Bayesian factor analysis in primary care and provide recommendations for its proper future use in primary care and beyond.Systematic review registration: PROSPERO registration number: CRD42018114978


Author(s):  
W.J. de Ruijter ◽  
M.R. McCartney ◽  
David J. Smith ◽  
J.K. Weiss

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.


Sign in / Sign up

Export Citation Format

Share Document