Methods for the Study of Marine Benthos

The continuing global decline of the health of the sea, and the increasing depletion of marine resources and biodiversity, caused by human activity and climate change, have led to ever-increasing international concern. These changes in the marine environment highlight the importance of effective monitoring of the ecology of the benthos which has been shown to be a sensitive index of such alterations. Completely revised and updated to include many new methods and technologies, this Fourth Edition of Methods for the Study of Marine Benthos provides comprehensive coverage on the tools and techniques available to those working in the area. Commencing with an overview of the design and analysis of benthic surveys, the book continues with chapters covering the sedimentary environment, imaging and diving techniques, macro- and meiofauna techniques, deep sea sampling, energy flow and production. An additional new chapter provided in this edition covers phytobenthos techniques. Written by many of the world’s leading authorities in marine sampling techniques and use, and edited by Professor Anastasios Eleftheriou, this comprehensive Fourth Edition is an essential tool for all marine and environmental scientists, ecologists, fisheries workers and oceanographers. Libraries in all research establishments and universities where these subjects are studied and taught will find this book to be a hugely valuable addition to their collections.

The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance. * Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.

Providing a broad overview of the microbial pathogens associated with hospital-acquired human illness, Techniques for the Study of Hospital Acquired Infection examines the cost-effective use of laboratory techniques in nosocomial infectious disease epidemiology and control. This concise guide addresses the cost benefits of combining modern molecular techniques with the traditional activities of infection control departments. The book is useful as a guide to hospital infection control programs as well as a text for medical practitioners, grad/medical students, researcher scientists, population biologists, molecular biologists, and microbiologists.

The content of this volume has been added to eMagRes (formerly Encyclopedia of Magnetic Resonance) – the ultimate online resource for NMR and MRI. The literature of multidimensional NMR began with the publication of three papers in 1975, then nine in 1976 and fifteen in 1977, and now contains many tens of thousands of papers. Any attempt to survey the field must therefore necessarily be very selective, not to say partial. In assembling this handbook, the Editors have sought to provide both the new researcher and the established scientist with a solid foundation for the understanding of multidimensional NMR, a representative if inevitably limited survey of its applications, an authoritative account of classic techniques such as COSY, NOESY and TOSCY, and an account of the latest progress in the development of multidimensional techniques. This handbook is structured in four parts. The first opens with an historical introduction to, and a brief account of, the practicalities and applications of multidimensional NMR methods, followed by a definitive survey of their conceptual basis and a series of articles setting out the generic principles of methods for acquiring and processing multidimensional NMR data. In the second part, the main families of multidimensional techniques, arranged in approximate order of increasing complexity, are described in detail, from simple J-resolved spectroscopy through to the powerful heteronuclear 3D and 4D methods that now dominate the study of structural biology in solution. The third part offers and illustrative selection from the very wide range of applications of multidimensional NMR methods, including some of the most recent developments in protein NMR. Finally, the fourth part introduces the idea of multidimensional spectra containing non-frequency dimensions, in which properties such as diffusion and relaxation are correlated. About EMR Handbooks / eMagRes Handbooks The Encyclopedia of Magnetic Resonance (up to 2012) and eMagRes (from 2013 onward) publish a wide range of online articles on all aspects of magnetic resonance in physics, chemistry, biology and medicine. The existence of this large number of articles, written by experts in various fields, is enabling the publication of a series of EMR Handbooks / eMagRes Handbooks on specific areas of NMR and MRI. The chapters of each of these handbooks will comprise a carefully chosen selection of articles from eMagRes. In consultation with the eMagRes Editorial Board, the EMR Handbooks / eMagRes Handbooks are coherently planned in advance by specially-selected Editors, and new articles are written (together with updates of some already existing articles) to give appropriate complete coverage. The handbooks are intended to be of value and interest to research students, postdoctoral fellows and other researchers learning about the scientific area in question and undertaking relevant experiments, whether in academia or industry. Have the content of this Handbook and the complete content of eMagRes at your fingertips! Visit: www.wileyonlinelibrary.com/ref/eMagRes View other eMagRes publications here

In the sixteen years since the last edition of Von Brant’s classic work was published, fishing and fisheries have undergone vast changes. Not only has there been great progress in the development of new tools, materials and techniques, but the industry has seen an increasing need to address controversial issues such as declining fish stocks, enormous quantities of bycatch and discard and the impact of towed fishing gear on the environment. Fully revised and updated to reflect such changes, the fourth edition of this widely read and popular book offers: A unique, comprehensive survey of the evolution of fishing methods throughout the world Approximately 750 illustrations showing the extensive range of methods, techniques and equipment used in fishing across the globe Fishing gear classified according to the FAO system Additional chapters: Fishing Effects on Fish Stocks and Environment and Fishery and Gear Research All researchers, fisheries scientists, fisheries students, administrators and libraries in universities and research establishments where fish and fisheries are studied and taught will find this book a valuable addition to their shelves. Commercial and sports fishermen will also find Fish Catching Methods of the World a fascinating and vital reference.

Analytical Methods for Environmental Contaminants of Emerging Concern Provides the analytical methodology required to detect different families of organic compounds of emerging concern (CECs) from environmental samples Most contaminants of emerging concern (CECs) —such as pharmaceuticals, personal care products, pesticides, sunscreens, perfluorinated compounds, and microplastics—have been present in the environment for years, yet some have only recently been identified, and many of these organic compounds remain unregulated. Analytical methods have been developed to determine the toxicity and risk of different families of CECs. Analytical Methods for Environmental Contaminants of Emerging Concern presents the methods currently available to determine families of organic CECs in environmental samples. Each section of the book is devoted to a particular family of CECs, covering different analytical methods supported by examples of both cutting-edge research and commonly used methods. An international panel of experts describes every step of the analytical procedures, including sample preparation, chromatographic separation coupled to mass spectrometry or other instrumental techniques. Specific requirements are linked to the properties of the contaminants and the sample matrix for each procedure presented. Throughout the book, in-depth case studies of analytical procedures for CEC extraction, separation, and determination are presented to help readers transfer the analytical methods to their laboratories. Provides detailed descriptions of various approaches for determining each group of CECs in environmental samples Covers different types of aqueous, solid, and atmospheric samples Includes up-to-date information on CEC properties, relevant legislation, reported or potential metabolites/transformation products, and environmental occurrence Addresses CECs such as novel psychoactive substances, artificial sweeteners, musk fragrances, disinfection byproducts, and microplastics Offers practical tips and advice on special care procedures to assist readers in CEC determination Analytical Methods for Environmental Contaminants of Emerging Concern is an essential reference and guide for advanced students and researchers in analytical chemistry and science, environmental science, forensic science, and specialized subjects related to analytical chemistry.

A practical guide for multivariate statistical techniques– now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of interest. Greatly revised and updated, this Second Edition provides helpful examples, graphical orientation, numerous illustrations, and an appendix detailing statistical software, including the S (or Splus) and SAS systems. It also offers * An expanded chapter on cluster analysis that covers advances in pattern recognition * New sections on inputs to clustering algorithms and aids for interpreting the results of cluster analysis * An exploration of some new techniques of summarization and exposure * New graphical methods for assessing the separations among the eigenvalues of a correlation matrix and for comparing sets of eigenvectors * Knowledge gained from advances in robust estimation and distributional models that are slightly broader than the multivariate normal This Second Edition is invaluable for graduate students, applied statisticians, engineers, and scientists wishing to use multivariate techniques in a variety of disciplines.

A comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.

Praise for the First Edition «. . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists.» —International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include: Establishing equivalence and non-inferiority Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index Multinomial logistic for polychotomous data and proportional odds models for ordinal data Negative binomial models for count data as an alternative to the Poisson model GEE models for the analysis of longitudinal repeated measures and multivariate observations Throughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines. Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. «This book, it must be said, lives up to the words on its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.' It does just that!» -Journal of the Royal Statistical Society «A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates.» -Choice Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.