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Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the best-selling Statistics for the Social Sciences is the solution to these dilemmas! Popular in previous editions, the Third Edition continues to help build students′ confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences...
Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The author presents statistical and analytical methods used in health care fraud audits without requiring any mathematical background. The public suffers from health care overpayments either directly as patients or indirectly as taxpayers, and fraud analytics provides ways to handle the large size and complexity of these claims. The book starts with a brief overview of global healthcare systems such as U.S. Medicare. This is followed by a discussion of medical overpayments and assessment initiatives ...
This book addresses the shelf life of foods, a key factor in determining how food is distributed and consequently where and when different food products are available for consumption. Shelf life is determined by several factors, including microbiological, chemical, physical, and organoleptic deterioration. Often these factors are interrelated and interdependent. The editors of this volume focus specifically on the microbial factors related to shelf life of perishable foods and food commodities. This allows for more detailed coverage of foodborne bacterial pathogens and spoilage microorganisms of concern. The initial part of the book covers the why and how of shelf life determination as well ...
This second edition of Water Activity in Foods furnishes those working within food manufacturing, quality control, and safety with a newly revised guide to water activity and its role in the preservation and processing of food items. With clear, instructional prose and illustrations, the book’s international team of contributors break down the essential principles of water activity and water–food interactions, delineating water’s crucial impact upon attributes such as flavor, appearance, texture, and shelf life. The updated and expanded second edition continues to offer an authoritative overview of the subject, while also broadening its scope to include six newly written chapters covering the latest developments in water activity research. Exploring topics ranging from deliquescence to crispness, these insightful new inclusions complement existing content that has been refreshed and reconfigured to support the food industry of today.
This book compiles the fundamentals, applications and viable product strategies of biomimetic lipid membranes into a single, comprehensive source. It broadens its perspective to interdisciplinary realms incorporating medicine, biology, physics, chemistry, materials science, as well as engineering and pharmacy at large. The book guides readers from membrane structure and models to biophysical chemistry and functionalization of membrane surfaces. It then takes the reader through a myriad of surface-sensitive techniques before delving into cutting-edge applications that could help inspire new research directions. With more than half the world's drugs and various toxins targeting these crucial s...
This book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.
The Naqab Bedouin and Colonialism brings together new scholarship to challenge perceived paradigms, often dominated by orientalist, modernist or developmentalist assumptions on the Naqab Bedouin. The past decade has witnessed a change in both the wider knowledge production on, and political profile of, the Naqab Bedouin. This book addresses this change by firstly, endeavouring to overcome the historic isolation of Naqab Bedouin studies from the rest of Palestine studies by situating, studying and analyzing their predicaments firmly within the contemporary context of Israeli settler-colonial policies. Secondly, it strives to de-colonise research and advocacy on the Naqab Bedouin, by, for exam...
Designed to help nursing students prepare for the NCLEX-RN licensure exam, the third edition of this exam assesses their knowledge and abilities before they take the Boards. The AssessTest is comprised of 265 questions that reflect the stand-alone format and distribution of content according to the NCLEX-RN test plan. A detailed computer evaluation analyses individual strengths and weaknesses to help students plan study time more effectively.
This book provides a broad introduction to computational aspects of Singular Spectrum Analysis (SSA) which is a non-parametric technique and requires no prior assumptions such as stationarity, normality or linearity of the series. This book is unique as it not only details the theoretical aspects underlying SSA, but also provides a comprehensive guide enabling the user to apply the theory in practice using the R software. Further, it provides the user with step- by- step coding and guidance for the practical application of the SSA technique to analyze their time series databases using R. The first two chapters present basic notions of univariate and multivariate SSA and their implementations in R environment. The next chapters discuss the applications of SSA to change point detection, missing-data imputation, smoothing and filtering. This book is appropriate for researchers, upper level students (masters level and beyond) and practitioners wishing to revive their knowledge of times series analysis or to quickly learn about the main mechanisms of SSA.
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and refinement would be required. Robust Bayesian analysis has been wid...