PREDICTING STATE OF TRAFFIC SIGNS USING LOGISTIC REGRESSION
نویسندگان
چکیده
منابع مشابه
Logistic Regression: Predicting Counts
For the most part, this book concerns itself with measurement data and the corresponding analyses based on normal distributions. In this chapter and the next we consider data that consist of counts. Elementary count data were introduced in Chapter 5. Frequently data are collected on whether or not a certain event occurs. A mouse dies when exposed to a dose of chloracetic acid or it does not. In...
متن کاملPredicting the distribution of plant species using logistic regression (Case study: Garizat rangelands of Yazd province)
The aim of this research was to study the relationships between presence of plant species and environmental factors in Garizat rangelands of Yazd province and providing their predictive habitat models. After delimitation of the study area, sampling was performed using randomized-systematic method. Accordingly, vegetation data including presence and cover percentage were determined in each quadr...
متن کاملTraffic Classification: Application-based feature selection using logistic regression
Recently, several statistical techniques using flow features have been proposed to address the problem of traffic classification. These methods achieve in general high recognition rates of the dominant applications and more random results for less popular ones. This stems from the selection process of the flow features, used as inputs of the statistical algorithm, which is biased toward those d...
متن کاملPredicting amphipod toxicity from sediment chemistry using logistic regression models.
Individual chemical logistic regression models were developed for 37 chemicals of potential concern in contaminated sediments to predict the probability of toxicity, based on the standard 10-d survival test for the marine amphipods Ampelisca abdita and Rhepoxynius abronius. These models were derived from a large database of matching sediment chemistry and toxicity data, which includes contamina...
متن کاملPredicting sediment toxicity using logistic regression: a concentration-addition approach.
The question posed in this article is how useful the chemical concentration measurements for predicting the outcome of sediment toxicity tests are. Using matched data on sediment toxicity and sediment chemical concentrations from a number of studies, we investigated several approaches for predicting toxicity based on multiple logistic regression with concentration-addition models. Three models ...
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: INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING
سال: 2016
ISSN: 2217-544X,2217-5652
DOI: 10.7708/ijtte.2016.6(3).04