Analyzing Time Interval Data

Analyzing Time Interval Data

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data.

Author: Philipp Meisen

Publisher: Springer

ISBN: 9783658157289

Category: Computers

Page: 232

View: 252

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.
Categories: Computers

Statistical Issues in Analyzing the NHANES I Epidemiologic Followup Study

Statistical Issues in Analyzing the NHANES I Epidemiologic Followup Study

The estimates from the 2 - year time interval model are somewhat larger than the
Cox estimates but not entirely dissimilar . We also examined the effect of choice
of time interval when there is censoring and found similar results ( data not ...

Author: Deborah D. Ingram

Publisher: Us Department of Health & Human

ISBN: IND:30000044528333

Category: Epidemiologic Methods.

Page: 30

View: 563

Categories: Epidemiologic Methods.

Analyzing Workplace Exposures Using Direct Reading Instruments and Video Exposure Monitoring Techniques

Analyzing Workplace Exposures Using Direct Reading Instruments and Video Exposure Monitoring Techniques

If this confidence interval does not contain 0 , then the explanatory variable is
said to have a significant effect upon exposure . ... If the real - time data are
independent , each residual value should be independent of the others . To test
for time ...

Author:

Publisher:

ISBN: OSU:32435067170175

Category: Environmental monitoring

Page: 80

View: 459

Categories: Environmental monitoring

Introduction to Time Series Analysis and Forecasting

Introduction to Time Series Analysis and Forecasting

The book also serves as an indispensablereference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences.

Author: Douglas C. Montgomery

Publisher: John Wiley & Sons

ISBN: 9781118211502

Category: Mathematics

Page: 472

View: 145

An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts. Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including: Regression-based methods, heuristic smoothing methods, and general time series models Basic statistical tools used in analyzing time series data Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performance over time Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares Exponential smoothing techniques for time series with polynomial components and seasonal data Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab, JMP, and SAS software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series courses at the advanced undergraduate and beginning graduate levels. The book also serves as an indispensable reference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences.
Categories: Mathematics

Engineering Education 4 0

Engineering Education 4 0

Several papers dealing with summarizability problems, cube computations, query
languages, fact-dimension relationships or different types of hierarchies have
been published. Nowadays, analyzing time interval data became ubiquitous.

Author: Sulamith Frerich

Publisher: Springer

ISBN: 9783319469164

Category: Computers

Page: 967

View: 634

This book presents a collection of results from the interdisciplinary research project “ELLI” published by researchers at RWTH Aachen University, the TU Dortmund and Ruhr-Universität Bochum between 2011 and 2016. All contributions showcase essential research results, concepts and innovative teaching methods to improve engineering education. Further, they focus on a variety of areas, including virtual and remote teaching and learning environments, student mobility, support throughout the student lifecycle, and the cultivation of interdisciplinary skills.
Categories: Computers

The Analysis of Time Series

The Analysis of Time Series

Highlights of the Sixth Edition: A new section on handling real data New discussion on prediction intervals A completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, ...

Author: Chris Chatfield

Publisher: CRC Press

ISBN: 0203491688

Category: Mathematics

Page: 352

View: 729

Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated the material to reflect advances in the field, and presented interesting new data sets. The sixth edition is no exception. It provides an accessible, comprehensive introduction to the theory and practice of time series analysis. The treatment covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. The author has carefully updated each chapter, added new discussions, incorporated new datasets, and made those datasets available for download from www.crcpress.com. A free online appendix on time series analysis using R can be accessed at http://people.bath.ac.uk/mascc/TSA.usingR.doc. Highlights of the Sixth Edition: A new section on handling real data New discussion on prediction intervals A completely revised and restructured chapter on more advanced topics, with new material on the aggregation of time series, analyzing time series in finance, and discrete-valued time series A new chapter of examples and practical advice Thorough updates and revisions throughout the text that reflect recent developments and dramatic changes in computing practices over the last few years The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be daunting. The accessibility, polished presentation, and broad coverage of The Analysis of Time Series make it simply the best introduction to the subject available.
Categories: Mathematics

The Statistical Analysis of Interval censored Failure Time Data

The Statistical Analysis of Interval censored Failure Time Data

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data.

Author: Jianguo Sun

Publisher: Springer

ISBN: 0387371192

Category: Mathematics

Page: 304

View: 859

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.
Categories: Mathematics

Analyzing Teaching Behavior

Analyzing Teaching Behavior

In this section , a cumulated time line display is discussed which combines the
histogram and a time line into a direct recording technique . CHOOSING TIME
INTERVALS The unit of analysis becomes a time interval when data are
cumulated .

Author: Ned A. Flanders

Publisher: Addison Wesley Publishing Company

ISBN: UOM:39015006957149

Category: Interaction analysis in education

Page: 448

View: 746

Categories: Interaction analysis in education

Analysis of Dependent Interval censored Time to event Data

Analysis of Dependent Interval censored Time to event Data

CHAPTER III MARGINAL ANALYSIS OF DEPENDENT INTERVAL - CENSORED
TIME - TO - EVENT DATA WITH A CONDITIONAL HAZARD MODEL Abstract
Most methods for analyzing interval - censored data assume that the observation
 ...

Author: Daohai Yu

Publisher:

ISBN: UOM:39015050175069

Category:

Page:

View: 818

Categories:

Radio Science

Radio Science

The recorded voltage data on the electric fields , after having been converted into
digital data by the use of an A / D 2. SCHONLAND TIME INTERVAL DATA AND
DERIVATION OF PROBABILITY DISTRIBUTIONS converter , were analyzed ...

Author:

Publisher:

ISBN: CHI:23894560

Category: Radio meteorology

Page:

View: 204

Categories: Radio meteorology

Stochastic Modelling of Social Processes

Stochastic Modelling of Social Processes

... for analyzing career data , waiting times , time intervals between events , event
- history data , etc . There are numerous examples of potential applications :
unemployment episodes , length of marriage , time interval data in psychological
 ...

Author: Andreas Diekmann

Publisher:

ISBN: UCAL:B4451434

Category: Social Science

Page: 341

View: 630

Categories: Social Science

Canadian Journal of Zoology

Canadian Journal of Zoology

Bilateral synchrony was determined by comparing the time intervals between
right and left lymph heart systoles . ... Pressures ( mm Hg ; mean SD ) were
analyzed using 10 min of each data set during the same time interval of other
analysis .

Author:

Publisher:

ISBN: MINN:31951P01040238E

Category: Electronic journals

Page:

View: 713

Categories: Electronic journals

Analysis of Right Censored Cost Data

Analysis of Right Censored Cost Data

Even though truncation is a partial solution of analyzing righted censored data for
a fixed interval time , the interpretability of the resulting estimate is limited since it
only applies to this particular time interval . In addition , the ranking of total cost ...

Author: Yin-Miao Chen

Publisher:

ISBN: UOM:39015041788210

Category:

Page:

View: 869

Categories:

Analyzing Systems

Analyzing Systems

A DATA FLOW , which contains known data elements that are passed along to
other components in the system at discrete moments in time or continuously over
some interval of time , is represented by an arc with one or more arrowheads .

Author: James A. Kowal

Publisher: Prentice Hall

ISBN: 0130335983

Category: Computers

Page: 441

View: 128

Categories: Computers

Izvestiya Russian Academy of Sciences

Izvestiya  Russian Academy of Sciences

The length of the time interval of the transition to a linear increase in S ( t ) is
particularly large for weakly seismic regions . Analyzing data from such regions ,
it is important to take into account the fact that not only the time of transition to the
 ...

Author:

Publisher:

ISBN: CHI:76681597

Category: Geophysics

Page:

View: 624

Categories: Geophysics

SPSS X Trends

SPSS X Trends

Each observation in a time series corresponds to a case or observation . The
main difference is that in time series analysis the observations are taken at
equally spaced time intervals . When you define time series data for use with
SPSS ...

Author: SPSS Inc

Publisher: Spss

ISBN: IND:30000009716832

Category: SPSS-X.

Page: 343

View: 260

Categories: SPSS-X.

Laboratory Physics

Laboratory Physics

In the analysis of data of this experiment , the average velocity during a time
interval of uniform acceleration is equal to the instantaneous velocity at the center
of the time interval . Two methods of analyzing the above data are given below .

Author: Lester L. Skolil

Publisher: WCB/McGraw-Hill

ISBN: 0697121585

Category: Science

Page: 98

View: 248

This lab manual is designed to be used in a first or second year college physics course. The experiments are arranged to follow the order of presentation of the subject matter in many college physics texts. In most of the experiments the apparatus is of standard design as found in most physics laboratories.New to this edition are the experiments numbered with a "D" suffix.In these "discovery" experiments, contributed by Dr. Smith, students are not told about the theory, but discover it in the course of completing the experiment.
Categories: Science

Methods for Analyzing Output from Equations and Computers

Methods for Analyzing Output from Equations and Computers

The best value for B and N at the end of any desired period is obtained by
simultaneously solving all equations for prior intervals . However , study suggests
the data for latest time intervals are given a weight disproportional to their
accuracy ...

Author: E. H. Timmerman

Publisher: Pennwell Corporation

ISBN: 0878141812

Category: Technology & Engineering

Page: 367

View: 667

Categories: Technology & Engineering

Polymath Journal

Polymath Journal

Data on average monthly rainfall ( in mm ) were collected at the Meteorological
Department , Federal Secretariat , Benin ... Since time series analysis is usually
performed on data collected at equal time intervals , meteorological data are very
 ...

Author:

Publisher:

ISBN: STANFORD:36105132151791

Category: Nigeria

Page:

View: 890

Categories: Nigeria