Characterizing nonconstant instrumental variance in emerging miniaturized analytical techniques

Calibration and Regression with Nonconstant Error Variance

Ordinary least squares regression analysis is generally inappropriate for calibration and regression problems when the usual assumption ofconstant variance across all observations doesn't hold. Estimators of regression parameters are of relatively poor quality and the resulting inference can be misleading. The use of standard data transformations is a common alternative but may not provide enou...

Miniaturized analytical assays in biotechnology.

Biotechnology today is a well-established paradigm in many areas of human endeavor, such as the pharmaceutical industry, agriculture, management of the environment and many others. Meanwhile, biology is undergoing a spectacular transition: whereas systematic biology was replaced gradually by molecular biology, the latter is rapidly being transformed into a new systematic era in which entire gen...

Introduction to Instrumental Analysis Classification of Analytical Techniques

Figure 1: Schematic showing measurement steps involved in quantitative chemical analysis of a sample. There are three ways of classifying the process, based on the technique (classical vs instrumental), the measurement data (single-channel vs multi-channel), or on whether additional data is needed to estimate the analyte concentration (relative vs absolute). There are a very large number of tec...

Emerging Optical CDMA Techniques and Applications

In this paper we present an in-depth review on the trends and the directions taken by the researchers worldwide in Optical Code Division Multiple Access (OCDMA) systems. We highlight those trends and features that are believed to be essential to the successful introduction of various OCDMA techniques in communication systems and data networks in near future. In particular we begin by giving a c...

Variance Reduction Techniques in . . .