Time in Variance

Time in Variance
Author: Arkadiusz Misztal
Publisher:
Total Pages: 0
Release: 2021
Genre: Time
ISBN: 9789004470170

Introduction / Paul A. Harris, Arkadiusz Misztal, and Jo Alyson Parker -- President's address : time in variance / Raji C. Steineck -- Out of Plato's cave / Steve Ostovich -- From the biotemporal to the ecotemporal in Atilio Caballero's La última playa / Lucia Cash Beare -- Founder's lecture : is time out of joint? Or at a new threshold? Reflections on the temporality of climate change / David Wood -- Slow time : the suspension of a tension / Paul A. Harris -- Temporal otherness and the "gifted child" in fiction / Adam Barrows -- The seductive quality of variable time in Elder scrolls V : Skyrim / Sue Scheibler -- In the forest of realities : impossible worlds in film and television narratives / Sonia Front -- "Out of repetition comes variation" : varying time-lines, invariant time, and Dolores's glitch in Westworld / Jo Alyson Parker and Thomas Weissert -- Time in variance and time's invariance in Richard McGuire's Here / Arkadiusz Misztal -- Variance in time morphologies in production and consumption of incense in medieval Japan / Vroni Ammann -- Understanding computation time : a critical discussion of time as a computational performance metric / David Harris-Birtill and Rose Harris-Birtill -- Variations of narrative temporalities in John Farrow's 1948 film The big clock / Raphaëlle Costa de Beauregard -- Transcending temporal variance : time-specificity, long distance performance and the intersubjective site / Emily DiCarlo -- Temporal experience in George Benjamin's Sudden time / Martin Scheuregger.

The Analysis of Variance

The Analysis of Variance
Author: Hardeo Sahai
Publisher: Springer Science & Business Media
Total Pages: 766
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461213444

The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.

Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression
Author: Ronald Christensen
Publisher: CRC Press
Total Pages: 453
Release: 2018-09-03
Genre: Mathematics
ISBN: 1498730191

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second Edition Reorganized to focus on unbalanced data Reworked balanced analyses using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to generalized linear models R, Minitab®, and SAS code on the author’s website The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

Introduction to Analysis of Variance

Introduction to Analysis of Variance
Author: J. Rick Turner
Publisher: SAGE Publications
Total Pages: 198
Release: 2001-04-13
Genre: Social Science
ISBN: 1452212112

Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design//analysis is appropriate to answer specific questions.

Cost Accounting Fundamentals

Cost Accounting Fundamentals
Author: Steven M Bragg
Publisher: Accountingtools, Incorporated
Total Pages: 266
Release: 2022-02-23
Genre:
ISBN: 9781642210842

Cost accounting is an essential management tool that can uncover profitability improvements and provide support for key business decisions. Cost Accounting Fundamentals shows how to improve a business with constraint analysis, target costing, capital budgeting, price setting, and cost of quality analysis. The book also addresses the essential tasks of inventory valuation and job costing, and shows how to create a cost collection system for these activities. In short, this book contains the essential tools needed to foster more profitable decision-making by management.

Components of Variance

Components of Variance
Author: D.R. Cox
Publisher: CRC Press
Total Pages: 181
Release: 2002-07-30
Genre: Mathematics
ISBN: 1482285940

The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the biological, genetic, health, industrial, and psychological sciences. Co-authored by Sir David Cox, the pre-eminent statistician in the field, this book provides in-depth discussions that set forth the essential principles of the subject. It focuses on developing the models that form the basis for detailed analyses as well as on the statistical techniques themselves. The authors include a variety of examples from areas such as clinical trial design, plant and animal breeding, industrial design, and psychometrics.

Fundamentals of Quality Control and Improvement

Fundamentals of Quality Control and Improvement
Author: Amitava Mitra
Publisher: John Wiley & Sons
Total Pages: 800
Release: 2021-04-28
Genre: Technology & Engineering
ISBN: 1119692350

The newest edition of an insightful and practical statistical approach to quality control and management In the newly revised and thoroughly updated Fifth Edition of Fundamentals of Quality Control and Improvement, accomplished academic, consultant, and author Dr. Amitava Mitra delivers a comprehensive and quantitative approach to quality management techniques. The book demonstrates how to integrate statistical concepts with quality assurance methods, incorporating modern ideas, strategies, and philosophies of quality management. You'll discover experimental design concepts and the use of the Taguchi method to incorporate customer needs, improve lead time, and reduce costs. The new edition also includes brand-new case studies at the end of several chapters, references to the statistical software Minitab 19, and chapter updates that add discussions of trending and exciting topics in quality control. The book includes access to supplementary material for instructors consisting of a new instructor's solutions manual and PowerPoint slides, as well as access to data sets for all readers. Readers will also benefit from the inclusion of: A thorough introduction to the evolution of quality and definitions of quality, quality control, quality assurance, quality circles, and quality improvement teams An exploration of customer needs and market share, as well as the benefits of quality control and the total quality system Practical discussions of quality and reliability, quality improvement, product and service costing, and quality costs A concise treatment of how to measure quality costs, the management of quality, and the interrelationship between quality and productivity Perfect for upper-level undergraduate and graduate students in quality control and improvement, the Fifth Edition of Fundamentals of Quality Control and Improvement will also earn a place in the libraries of business students and those undertaking training programs in Six Sigma.