Nature

Studying and modelling dynamic biological processes using time-series gene expression data

Studying time-series gene expression enables the identification of transient transcriptional changes, temporal patterns of a response and causal relationships between genes. Experimental design and ...
Nature

The sensitivity of health effect estimates from time-series studies to fine particulate matter component sampling schedule

Monitoring data from the US Environmental Protection Agency (EPA) Chemical Speciation Network (CSN) have been a valuable resource for studying the association of PM 2.5 components and health. The CSN ...
JSTOR Daily

Estimation of the Mean of a Stationary Time Series by Sampling

This is a preview. Log in through your library . Abstract Let $X(t), -\infty < t < \infty$, be a stationary time series with mean cx. Let $0 < \tau_{1} < \tau_{2 ...
JSTOR Daily

Time-Dependent Reliability of Random Dynamic Systems Using Time-Series Modeling and Importance Sampling

ABSTRACT Reliability is an important engineering requirement for consistently delivering acceptable product performance through time. As time progresses, the product may fail due to time-dependent ...
Investopedia

Understanding Time Series: Analyzing Data Trends Over Time

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Electronic Design

Tektronix's 8 Series Sampling Oscilloscope Platform Supports 56GBd and 28GBd

Optical transceiver test platform reduces test time and boasts repeatability, addressing test challenges for optical manufactures to meet the demand for increased bandwidth and network capacity ...