Getting started with uncertainty evaluation using the Monte Carlo method in R

Tutorial: Getting Started with MART in R

Predictive data mining is concerned with constructing statistical models from historical data. These models are used to predict future unknown data values, and/or to help gain an understanding of the predictive relationships represented in the data. The data consists of sets of measurements made on objects (observations) collected in a data base. One of the measured variables (denoted by y) is ...

Uncertainty Evaluation of Multi-sensor Flow Measurement in a Sewer System Using Monte Carlo Method

− Technical requirements and economical impacts of flow measurements in sewer systems are a issue concern in today’s system’s management. Thus, the quality of the measurements is considered to be a critical issue. Considering the complex nature of the measurand and the metrological requirements of local installations, the best available level of accuracy in measurement results should be sought....

Getting started with SMV

MODEL IMPLEMENTION COMPONENT REFINEMENT MAPS Figure 1: Re nement maps interfaces and structures in the low-level design. This makes it possible to verify small parts of the low-level design in the context of the abstract model. Thus, the proof obligations can be reduced to a small enough scale to be veri ed by model checking. SMV supports this methodology by allowing one to specify many abstrac...

Getting Started with Sequencel

Getting started with tables

BACKGROUND Tables are often overlooked by many readers of papers who tend to focus on the text. Good tables tell much of the story of a paper and give a richer insight into the details of the study participants and the main research findings. Being confident in reading tables and constructing clear tables are important skills for researchers to master. METHOD Common forms of tables were consi...