Identification of Fractional Models from Frequency Data

2007 ◽  
pp. 229-242 ◽  
Author(s):  
Duarte Valério ◽  
José Sá da Costa
Keyword(s):  
Frequency Data ◽  
Fractional Models

Presenting frequency data in Bayesian tasks: Does everybody benefit?

2004 ◽  
Author(s):  
Katy Long ◽  
James Friedrich
Keyword(s):  
Frequency Data

Profil Pasien Katarak Senilis Pada Usia 40 Tahun Keatas di RSI Siti Rahmah Tahun 2017

2019 ◽  
Vol 1 (1) ◽  
pp. 15-21
Author(s):  
Rada Puspita ◽  
Haves Ashan ◽  
Fidiariani Sjaaf
Keyword(s):  
High School ◽  
Secondary Data ◽  
Study Data ◽  
Vision Impairment ◽  
High School Education ◽  
Frequency Data ◽  
Private Companies ◽  
The World ◽  
Age Range ◽  
Cataract Patients

Vision impairment is estimated to affect 285 million people in the world, where 16-20% experience blindness, from the number of blindness suffered at the age of 40-50 years. Cataract seninis is all lens opacities that are found in old age that is above 40 years. The purpose of identifying and collecting frequency data Profile of Senilis cataract patients at the age of 40 years and above at RSI Siti Rahmah Padang in 2017. The research method is descriptive type of research, this study data taken is secondary data, In this study data was taken from the Medical Record at RSI Siti Rahmah Padang. When the study was conducted in February-August 2018, the population of this study were all cataract patients at the age of 40 years and above at RSI Siti Rahmah Padang in 2017 with 80 samples. Data analysis is univariate presented in the form of a frequency distribution table. Results From 80 respondents as many as 40 people (50%) were in the age range of 60-69 years, as many as 42 people (52.5%) patients were male, as many as 31 people (38.8%) patients with high school education and 35 people (43.8%) patients work as private companies. Conclusion In general, most patients are at the age of 60-69 years, the most sex is men, the highest education is high school and most patients are private.

An exploration of prevalence, variety, and frequency data to quantify online sexual activity experience

2017 ◽  
Vol 26 (1) ◽  
pp. 60-75 ◽  
Author(s):  
Krystelle Shaughnessy ◽  
Miranda Fudge ◽  
E. Sandra Byers
Keyword(s):  
Sexual Activity ◽  
Frequency Data

Efficient Estimation of Volatility using High Frequency Data

2002 ◽  
Author(s):  
Gilles O. Zumbach ◽  
Fulvio Corsi ◽  
Adrian Trapletti
Keyword(s):  
High Frequency ◽  
Efficient Estimation ◽  
High Frequency Data ◽  
Frequency Data

Forecasting Exchange Rate Realized Volatility Through Decomposition Using High-Frequency Data

2017 ◽  
Author(s):  
Rim mname Lamouchi ◽  
Russell mname Davidson ◽  
Ibrahim mname Fatnassi ◽  
Abderazak Ben mname Maatoug
Keyword(s):  
Exchange Rate ◽  
High Frequency ◽  
Realized Volatility ◽  
High Frequency Data ◽  
Frequency Data
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