TY - JOUR
T1 - A Look at Sequential Normal Scores and How They Apply to Financial Data Analysis
AU - Conover, William
AU - Tercero-Gomez, Victor G.
AU - Cordero-Franco, Alvaro E.
PY - 2018/4/24
Y1 - 2018/4/24
N2 - Statistical methods for analyzing economic data need to be timely, accurate and easy to compute. To accomplish this parametric models are often assumed, but they are at best approximate, and often lack a good fit in the tails of the distribution where much of the interesting data is concentrated. Therefore nonparametric methods have been extensively examined as alternatives to the constrictive assumptions of parametric models. This paper examines the use of Sequential Normal Scores (SNS) for detecting outliers (out-of-control values), and how they can be integrated within CUSUMs and Exponentially Weighted Moving Average (EWMA) schemes.
AB - Statistical methods for analyzing economic data need to be timely, accurate and easy to compute. To accomplish this parametric models are often assumed, but they are at best approximate, and often lack a good fit in the tails of the distribution where much of the interesting data is concentrated. Therefore nonparametric methods have been extensively examined as alternatives to the constrictive assumptions of parametric models. This paper examines the use of Sequential Normal Scores (SNS) for detecting outliers (out-of-control values), and how they can be integrated within CUSUMs and Exponentially Weighted Moving Average (EWMA) schemes.
U2 - 10.4236/jamp.2018.64069
DO - 10.4236/jamp.2018.64069
M3 - Article
SP - 40
JO - Journal of Applied Mathematics and Physics
JF - Journal of Applied Mathematics and Physics
ER -