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The Temple Architecture Of India

30%

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The Temple Architecture Of India

de Adam (Welsh School Of Architecture) Hardy

~~33,79€~~ 23,65€ 30% IMEDIATO

portes grátis

 Explains the principles and processes underlying the designs of Indian temples. This book traces the origins and formation of the two classical architectural 'languages' of India - the northern Nagara and southern Dravida - and their extraordinarily varied development during the great age of temple construction between the 6th and 13th centuries.
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Statistical Issues In Drug Development

de Stephen S. Senn

119,18€ + 10% EM CARTÃO

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 Statistical Issues in Drug Development The revised third edition of Statistical Issues in Drug Development delivers an insightful treatment of the intersection between statistics and the life sciences. The book offers readers new discussions of crucial topics, including cluster randomization, historical controls, responder analysis, studies in children, post-hoc tests, estimands, publication bias, the replication crisis, and many more.This work presents the major statistical issues in drug development in a way that is accessible and comprehensible to life scientists working in the field, and takes pains not to gloss over significant disagreements in the field of statistics, while encouraging communication between the statistical and life sciences disciplines. In addition to new material on topics like invalid inversion, severity, random effects in network meta-analysis, and explained variation, readers will benefit from the inclusion of:<ul><li>A thorough introduction to basic topics in drug development and statistics, including the role played by statistics in drug development</li><li>An exploration of the four views of statistics in drug development, including the historical, methodological, technical, and professional</li><li>An examination of debatable and controversial topics in drug development, including the allocation of treatments to patients in clinical trials, baselines and covariate information, and the measurement of treatment effects</li></ul>Perfect for life scientists and other professionals working in the field of drug development, Statistical Issues in Drug Development is the ideal resource for anyone seeking a one-stop reference to enhance their understanding of the use of statistics during drug development.
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Individual Participant Data Meta-Analysis - A Handbook For Healthcare Research

90,03€ + 10% EM CARTÃO

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 Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: <ul> <li>Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review</li> <li>Recognise the scope, resources and challenges of IPD meta-analysis projects</li> <li>Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators</li> <li>Understand how to obtain, check, manage and harmonise IPD from multiple studies</li> <li>Examine risk of bias (quality) of IPD and minimise potential biases throughout the project</li> <li>Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them</li> <li>Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research</li> <li>Critically appraise existing IPD meta-analysis projects</li> <li>Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models</li> </ul> Detailed examples and case studies are provided throughout.
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Modern Industrial Statistics - With Applications In R, Minitab, And Jmp

de Ron S. Kenett e Shelemyahu Zacks

135,08€ + 10% EM CARTÃO

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 Modern Industrial Statistics The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approachesModern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications.The fully revised third edition covers the latest techniques in R, MINITAB and JMP, and features brand-new coverage of time series analysis, predictive analytics and Bayesian inference. New and expanded simulation activities, examples, and case studies—drawn from the electronics, metal work, pharmaceutical, and financial industries—are complemented by additional computer and modeling methods. Helping readers develop skills for modeling data and designing experiments, this comprehensive volume:<ul><li>Explains the use of computer-based methods such as bootstrapping and data visualization</li><li>Covers nonstandard techniques and applications of industrial statistical process control (SPC) charts</li><li>Contains numerous problems, exercises, and data sets representing real-life case studies of statistical work in various business and industry settings</li><li>Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable appendices</li><li>Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book</li></ul>Part of the acclaimed Statistics in Practice series, Modern Industrial Statistics with Applications in R, MINITAB, and JMP, Third Edition, is the perfect textbook for advanced undergraduate and postgraduate courses in the areas of industrial statistics, quality and reliability engineering, and an important reference for industrial statisticians, researchers, and practitioners in related fields. The mistat R-package is available from the R CRAN repository.
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Statistics And The Evaluation Of Evidence For Forensic Scientists

de Colin Aitken, Franco Taroni e Silvia Bozza

158,93€ + 10% EM CARTÃO

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 Statistics and the Evaluation of Evidence for Forensic Scientists The leading resource in the statistical evaluation and interpretation of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and interpret evidence. Courts are increasingly aware of the importance of proper evidence assessment when there is an element of uncertainty. Because of the increasing availability of data, the role of statistical and probabilistic reasoning is gaining a higher profile in criminal cases. That’s why lawyers, forensic scientists, graduate students, and researchers will find this book an essential resource, one which explores how forensic evidence can be evaluated and interpreted statistically. It’s written as an accessible source of information for all those with an interest in the evaluation and interpretation of forensic scientific evidence. <UL><LI>Discusses the entire chain of reasoning-from evidence pre-assessment to court presentation;</LI> <LI>Includes material for the understanding of evidence interpretation for single and multiple trace evidence; </LI> <LI>Provides real examples and data for improved understanding. </LI></UL> Since the first edition of this book was published in 1995, this respected series has remained a leading resource in the statistical evaluation of forensic evidence. It shares knowledge from authors in the fields of statistics and forensic science who are international experts in the area of evidence evaluation and interpretation. This book helps people to deal with uncertainty related to scientific evidence and propositions. It introduces a method of reasoning that shows how to update beliefs coherently and to act rationally. In this edition, readers can find new information on the topics of elicitation, subjective probabilities, decision analysis, and cognitive bias, all discussed in a Bayesian framework.
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Risk Assessment - Theory, Methods, And Applications

de Marvin Rausand e Stein Haugen

173,51€ + 10% EM CARTÃO

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 Introduces risk assessment with key theories, proven methods, and state-of-the-art applications Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today. The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk. <ul> <li>Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis</li> <li>Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis</li> <li>Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis</li> <li>Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management</li> <li>Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms</li> <li>Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual</li> </ul> Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.
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Exploratory Subgroup Analyses In Clinical Research

de Gerd Rosenkranz

104,61€ + 10% EM CARTÃO

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 This essential guide on subgroup analyses in the emerging area of personalized medicine covers the issues of subgroup analyses from a practical and a theoretical/methodological point of view. The practical part introduces the issues using examples from the literature where subgroup analyses led to unexpected or difficult-to-interpret results, which have been interpreted differently by different stakeholders. On the technical side, the book addresses selection and selection bias variance reduction by borrowing information from the full population in estimating a subgroup effect. To this end, subgroup analysis will be linked to statistical modelling, and subgroup selection to model selection. This connection makes the techniques developed for model selection applicable to subgroup analysis. Beginning with a history of subgroup analysis, Exploratory Subgroup Analyses in Clinical Research offers chapters that cover: objectives and current practice of subgroup analyses; pitfalls of subgroup analyses; subgroup analysis and modeling; hierarchical models in subgroup analysis; and selection bias in regression. It also looks at the predicted individual treatment effect and offers an outlook of the topic in its final chapter. <ul> <li>Focuses on the statistical aspects of subgroup analysis</li> <li>Filled with classroom and conference-workshop tested material</li> <li>Written by a leading expert in the field of subgroup analysis</li> <li>Complemented with a companion website featuring downloadable datasets and examples for teaching use</li> </ul> Exploratory Subgroup Analyses in Clinical Research is an ideal book for medical statisticians and biostatisticians and will greatly benefit physicians and researchers interested in personalized medicine.
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Quantitative Finance

de Ionut Florescu e Maria Cristina Mariani

145,68€ + 10% EM CARTÃO

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 Presents a multitude of topics relevant to the quantitative finance community by combining the best of the theory with the usefulness of applications Written by accomplished teachers and researchers in the field, this book presents quantitative finance theory through applications to specific practical problems and comes with accompanying coding techniques in R and MATLAB, and some generic pseudo-algorithms to modern finance. It also offers over 300 examples and exercises that are appropriate for the beginning student as well as the practitioner in the field. The Quantitative Finance book is divided into four parts. Part One begins by providing readers with the theoretical backdrop needed from probability and stochastic processes. We also present some useful finance concepts used throughout the book. In part two of the book we present the classical Black-Scholes-Merton model in a uniquely accessible and understandable way. Implied volatility as well as local volatility surfaces are also discussed. Next, solutions to Partial Differential Equations (PDE), wavelets and Fourier transforms are presented. Several methodologies for pricing options namely, tree methods, finite difference method and Monte Carlo simulation methods are also discussed. We conclude this part with a discussion on stochastic differential equations (SDE’s). In the third part of this book, several new and advanced models from current literature such as general Lvy processes, nonlinear PDE''s for stochastic volatility models in a transaction fee market, PDE''s in a jump-diffusion with stochastic volatility models and factor and copulas models are discussed. In part four of the book, we conclude with a solid presentation of the typical topics in fixed income securities and derivatives. We discuss models for pricing bonds market, marketable securities, credit default swaps (CDS) and securitizations. <ul> <li>Classroom-tested over a three-year period with the input of students and experienced practitioners</li> <li>Emphasizes the volatility of financial analyses and interpretations</li> <li>Weaves theory with application throughout the book</li> <li>Utilizes R and MATLAB software programs</li> <li>Presents pseudo-algorithms for readers who do not have access to any particular programming system</li> <li>Supplemented with extensive author-maintained web site that includes helpful teaching hints, data sets, software programs, and additional content </li> </ul> Quantitative Finance is an ideal textbook for upper-undergraduate and beginning graduate students in statistics, financial engineering, quantitative finance, and mathematical finance programs. It will also appeal to practitioners in the same fields.
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Data Monitoring Committees In Clinical Trials - A Practical Perspective

de David L. Demets, Susan S. Ellenberg e Thomas R. Fleming

128,46€ + 10% EM CARTÃO

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 A Practical Perspective. 2nd ed. An authoritative and updated guide todata monitoring committees, their establishment, purpose and responsibilities.
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Data Monitoring Committees In Clinical Trials - A Practical Perspective

de David L. (University Of Wisconsin-Madison) Demets, Susan S. (University Of Pennsylvania) Ellenberg e Thomas R. (University Of Washington) Fleming

~~127,01€~~ 88,91€ 30% IMEDIATO

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 A Practical Perspective. 2nd ed. An authoritative and updated guide todata monitoring committees, their establishment, purpose and responsibilities.
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Network Meta-Analysis For Decision-Making

de A. E. Ades, Alexander J. Sutton, Jeroen P. Jansen, Nicky J. Welton e Sofia Dias

82,08€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective.
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Crossover Designs - Testing, Estimation, And Sample Size

de Kung-Jong Lui

100,63€ + 10% EM CARTÃO

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 A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible.
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Understanding And Applying Basic Statistical Methods Using R

de Rand R. Wilcox

91,36€ + 10% EM CARTÃO

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 Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming.Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.
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Crossover Designs - Testing, Estimation, And Sample Size

de Kung-Jong (San Diego State University, Usa) Lui

~~99,97€~~ 69,98€ 30% IMEDIATO

portes grátis

 A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible.
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Encyclopedia Of Ornament

de Henry Shaw

~~14,86€~~ 10,40€ 30% IMEDIATO

 Widely praised for the meticulous rendering of its plates, this 1842 compilation features a broad range of Gothic Revival decorations: architectural ornaments, stained glass, wood carvings, tapestry designs, and much more.
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Weight-Of-Evidence For Forensic Dna Profiles

de Christopher D. Steele e David J. Balding

99,31€ + 10% EM CARTÃO

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 DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting.
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Modeling And Analysis Of Compositional Data

de Juan Jos Egozcue, Raimon Tolosana-Delgado e Vera Pawlowsky-Glahn

107,26€ + 10% EM CARTÃO

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 Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method.
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Statistical Methods For Evaluating Safety In Medical Product Development

97,98€ + 10% EM CARTÃO

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 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.
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Applied Mixed Models In Medicine

de Helen Brown e Robin Prescott

97,98€ + 10% EM CARTÃO

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 A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry.
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Weight-Of-Evidence For Forensic Dna Profiles

de Christopher D. (University College London, Uk) Steele e David J. (University Of Melbourne, Australia; And University College London, Uk) Balding

~~98,62€~~ 69,03€ 30% IMEDIATO

portes grátis

 DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting.
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Bayesian Networks For Probabilistic Inference And Decision Analysis In Forensic Science

de Alex Biedermann, Colin Aitken, Franco Taroni, Paolo Garbolino e Silvia Bozza

97,98€ + 10% EM CARTÃO

DISPONIBILIDADE IMEDIATA

 "This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr.
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Modeling And Analysis Of Compositional Data

de Juan Jose Egozcue, Raimon Tolosana-Delgado e Vera (University Of Girona, Spain) Pawlowsky-Glahn

~~109,44€~~ 76,61€ 30% IMEDIATO

portes grátis

 Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method.
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Statistical Applications For Environmental Analysis And Risk Assessment

de Joseph Ofungwu

147,01€ + 10% EM CARTÃO

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 Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary.
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Applied Missing Data Analysis In The Health Sciences

de Chuan Zhou, Danping Lui, Xaiobo Ding e Xiao-Hua Zhou

129,78€ + 10% EM CARTÃO

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 Applied Missing Data Analysis in the Health Sciences A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using SAS , Stata , R, and WinBUGS software packages Numerous examples of case studies to illustrate real-world scenarios and demonstrate applications of discussed methodologies Detailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.
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