Books in the Statistics in Practice series

Grounded in a solid business context with an emphasis on data-driven decision making, Data and Decisions for MBA's presents a down-to-earth treatment of the essentials of statistics. The book introduces chapters with a deeply contextual motivating example, followed by further details, raw data, and motivating insights.

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general.

Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details.

This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements.

This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively.

In order to assess the effectiveness of groundwater monitoring devices and their end results, statistical techniques must be employed. Thoroughly updated and expanded, the Second Edition examines the multiple problems inherent in the analysis of groundwater monitoring data and illustrates their application and interconnections.

* Introduces rich data sources and discusses new data challenges to the increasing interest in online auctions. * There are applications to a wide variety of statistical methods, as well as models to new domain areas. * Heavy emphasis is placed on a need for interdisciplinary collaboration.

* Presents a modeling framework in which biostatisticians cananalyze clinical data and compare measurements taken from differentclinical centres using different methods. * Provides the practical tools for analyzing method comparisonstudies along with guidance on what to report and how to plancomparison studies.

* Provides a thorough overview of the complex mathematical models involved in modeling complex processes * Written by experienced, respected and well established Statisticians and Engineers and designed to facilitate communication between modelers in different disciplines.

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. Throughout this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language.

Features coverage of the epidemiological indices, and includes developments in the field. This title serves as a useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature several real examples.

Financial Surveillance provides the first book-length treatment of statistical surveillance methods used in financial analysis. This combination of two topical fields enables those working in statistical surveillance or finance, to learn more about the other subject.

Split into 4 accessible parts, the book presents: 1. An introduction to and definition of BBNs.2. Step-by-step practical guidelines to applying BBNs.3. A wide variety of applications in industry, natural sciences, services and computing.4. A discussion of the future directions BBN research and applications might take.

Statistical Analysis and Modelling of Spatial Point Patterns provides an accessible account of the statistical analysis of spatial point patterns taking particular account of spatial data. Applications are central to the book and there are examples from biology, geology, ecology and environmental sciences as well as forestry.

Introduction to Distribution Logistics presents the basics of distribution logistics (DL) in both a qualitative and quantitative manner so as to reach out to a multitude of reader backgrounds. Devoid of solid quantitative books in the marketplace, this book fills a gap.

In sequential clinical trials, data from patients treated at the beginning of a trial can be analyzed while the trial is still in progress and subsequent patients can be recruited. This analysis provides stopping rules whereby the number of patients involved can be limited without affecting the results.

This book explores the processes through which archaeologists analyze data and describes how these techniques can be made more rigorous and effective by sound statistical modelling.

Introduces optimal experimental design, in an accessible style that means very minimal mathematical background knowledge is needed. Provides guidelines for practitioners to increase the efficiency of their designs, demonstrating how optimal designs can reduce a study's costs and sample sizes.

Written to help readers understand and deal with the statistical complexity of oral health research, Statistical Methods in Oral Health Research discusses the unique features of data arising from oral health research and comments on research methods common to both oral health and biostatistics research.

This book bridges the gap between researchers in statistics and e-commerce, exposing both communities to the opportunities in this evolving area. Statistical Methods in eCommerce Research enables statisticians to better understand the challenges of empirical e-commerce research and to develop new methods for their analyses.

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources.

Statistical Monitoring of Complex Multivariate Processes summarizes recent advances in statistical-based process monitoring of complex multivariate process systems. The book includes a broad range of applications of multivariate statistical techniques into the area of mechanical, manufacturing, and power engineering.

Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed, and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence.

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effectively address them. The text provides a critique of conventional and simple methods before moving on to discuss more advanced approaches.

This book provides an overview of available methods for bioequivalence studies, adopting a practical approach via numerous examples using real data. All medical/pharmacokinetic background is provided, so that the book is suitable for both medical practitioners/pharmaceutical scientists, and biometricians.

Based on the EPA Office of Water's most recent epidemiological studies being conducted at the Great Lakes beaches, Statistical Framework for Recreational Water Quality Criteria and Monitoring provides a framework in the context of these studies, providing details on traditional and novel sampling designs.

The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector. Quantitative methods are needed to monitor, control and improve the quality of medical processes.

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system.

Uncertain Judgments Eliciting Experts' Probabilities presents a range of tried and tested elicitation methods to enable statisticians to get make the most of expert opinion. An elicitation method forms a bridge between an expert's opinion and an expression of these points in a statistically useful form.

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics.