USING STATISTICAL TOOLS TO DETECT GASOLINE ADULTERATION
نویسندگان
چکیده
منابع مشابه
Do simple screening statistical tools help to detect reporting bias?
BACKGROUND As a result of reporting bias, or frauds, false or misunderstood findings may represent the majority of published research claims. This article provides simple methods that might help to appraise the quality of the reporting of randomized, controlled trials (RCT). METHODS This evaluation roadmap proposed herein relies on four steps: evaluation of the distribution of the reported va...
متن کاملUsing statistical parsing to detect agrammatic aphasia
Agrammatic aphasia is a serious language impairment which can occur after a stroke or traumatic brain injury. We present an automatic method for analyzing aphasic speech using surface level parse features and context-free grammar production rules. Examining these features individually, we show that we can uncover many of the same characteristics of agrammatic language that have been reported in...
متن کاملScreening analysis to detect adulteration in diesel/biodiesel blends using near infrared spectrometry and multivariate classification.
This paper proposes an analytical method to detect adulteration of diesel/biodiesel blends based on near infrared (NIR) spectrometry and supervised pattern recognition methods. For this purpose, partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) coupled with the successive projections algorithm (SPA) have been employed to build screening models using thr...
متن کاملTools to Detect Influenza Virus
In 2009, pandemic influenza A (H1N1) virus (H1N1 09) started to spread quickly in many countries. It causes respiratory infection with signs and symptoms of common infectious agents. Thus, clinicians sometimes may miss the H1N1 patient. Clinical laboratory tests are important for the diagnosis of the H1N1 infection. There are several tests available, however, the rapid test and direct fluoresce...
متن کاملUsing statistical methods and genotyping to detect tuberculosis outbreaks
BACKGROUND Early identification of outbreaks remains a key component in continuing to reduce the burden of infectious disease in the United States. Previous studies have applied statistical methods to detect unexpected cases of disease in space or time. The objectives of our study were to assess the ability and timeliness of three spatio-temporal methods to detect known outbreaks of tuberculosi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Revista de Engenharia Térmica
سال: 2002
ISSN: 1676-1790
DOI: 10.5380/reterm.v1i2.3511