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Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)
Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the...

MATLAB® Recipes for Earth Sciences
MATLAB® Recipes for Earth Sciences
MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and...
Learning Qlikview Data Visualization
Learning Qlikview Data Visualization

Visualize and analyze data with the most intuitive business intelligence tool, QlikView

Overview

  • Explore the basics of data discovery with QlikView
  • Perform rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis
  • Deploy data visualization best...
Spectrochemical Analysis Using Infrared Multichannel Detectors
Spectrochemical Analysis Using Infrared Multichannel Detectors
A tremendous growth in the utilization of multichannel detectors for infrared (IR) spectroscopy has been observed over the past decade. In some cases, the incorporation of multichannel detectors has significantly changed the practice of IR spectroscopy; while in others, it has provided new opportunities for spectroscopic...
Forensic Chemistry
Forensic Chemistry

As the number of forensic science and forensic chemistry degree programs has increased over the last few years, Forensic Chemistry was the first book to specifically address this rapidly growing field. It introduces the principal areas of study from the perspective of analytical chemistry, addressing the legal context in which forensic...

Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.

This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers.
...

Robustness and Complex Data Structures
Robustness and Complex Data Structures
Our journey towards this Festschrift started when realizing that our teacher, mentor, and friend Ursula Gather was going to celebrate her 60th birthday soon. As a researcher, lecturer, scientific advisor, board member, reviewer, editor, Ursula has had a wide impact...
Computational Statistics: An Introduction to R
Computational Statistics: An Introduction to R

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and...

Practical Guide To Chemometrics, Second Edition
Practical Guide To Chemometrics, Second Edition
Chemometrics is an interdisciplinary field that combines statistics and chemistry. From its earliest days, chemometrics has always been a practically oriented subdiscipline of analytical chemistry aimed at solving problems often overlooked by mainstream statisticians. An important example is solving multivariate calibration problems at reduced...
Multivariate Statistical Quality Control Using R (SpringerBriefs in Statistics)
Multivariate Statistical Quality Control Using R (SpringerBriefs in Statistics)

The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to...

Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)
Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection...

Mathematical Summary for Digital Signal Processing Applications with Matlab
Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial...

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