E cient neighbor searching in nonlinear time series analysis Thomas Schreiber Department of Theoretical Physics‚ University of Wuppertal‚ D{42097 Wuppertal July 18‚ 1996 We want to encourage the use of fast algorithms to nd nearest neighbors in k{dimensional space. We review methods which are particularly useful for the study of time series data from chaotic systems. As an example‚ a simple box{assisted method and possible re nements are described in some detail. The e ciency of the method is compared
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As the operations manager of Colsam Company Limited‚ I have been tasked to make a presentation to management on the importance of forecasting. The presentation would be done along the following lines. * THE MEANING OF FORECASTING * STEPS USED TO DEVELOP A FORECASTING SYSTEM * QUALITATIVE FORECASTING * QUANTITATIVE FORECASTING * BENEFITS OF FORECASTING THE MEANING OF FORECASTING A planning tool that helps management in its attempts to cope with the uncertainty of the future
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STRATEGY FOR TESTING SERIES 1. Check for known series. p-series converges if . diverges if . (Note: When ‚ the series is the harmonic series.) geometric series converges if . diverges if . telescoping series converges if a real number. diverges otherwise. 2. Use a test. NOTE: When testing a series for convergence or divergence‚ two components must be shown: (i) State the test that is used: “Therefore‚ the series [converges/diverges] by the [name of test].” (ii)
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Levenspiel (Hfst. 14) p. 321 - 338 Tanks-inTanks-in-series model Another model that is frequently used to simulate the behavior of actual reactor networks is a cascade of ideal CSTRs operating in series. series Tanks-inTanks-in-series model 14 The actual reactor is replaced by n identical stirred tank reactors whose total volume is the same as that of the actual reactor. 1 2 Tanks-inTanks-in-series model Model definition: Tanks-inTanks-in-series model Material balance – tank N: t t⋅E =
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The word lit was made to express a feeling. People use to it to express how much fun‚ or excitement they will experience. Lit is a slang word. Over the years many new words have been brought up. Lit can be used as describing the excitement‚ getting high‚ or how it really sounds lit. This is a word individuals hear with teen adults to describe an event or someone’s excitement. Lit is a way of explaining events that happen in your life. Lit has the pros of using the word but also the cons like when
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Course Outline for Spring 2012‚ Statistics 153: Introduction to Time Series January 16‚ 2012 • Instructor: Aditya Guntuboyina (aditya@stat.berkeley.edu) • Lectures: 12:30 pm to 2 pm on Tuesdays and Thursdays at 160 Dwinelle Hall. • Office Hours: 10 am to 11 am on Tuesdays and Thursdays at 423 Evans Hall. • GSI: Brianna Heggeseth (bhirst@stat.berkeley.edu) • GSI Lab Section: 10 am to 12 pm OR 12 pm to 2 pm on Fridays at 334 Evans Hall (The first section will include a short Introduction
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Making an Activity Series of Metals using different Solutions Purpose/ Hypothesis: The purpose of this lab was to clearly identify the reactivity of magnesium‚ zinc and copper. The metals reactivity will be exemplified as it will be tested with different solutions such as zinc sulfate (ZnSO4)‚ copper sulfate (CuSO4)‚ hydrochloric acid (HCL)‚ magnesium sulfate (Mg2SO4)‚ iron (II) sulfate (FeSO4) and tin (II) chloride (SnCl2). This will allow us in creating an activity series to visually see the reactivity
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Time Series Prediction of Earthquake Input by using Soft Computing Hitoshi FURUTA‚ Yasutoshi NOMURA Department of Informatics‚ Kansai University‚ Takatsuki‚ Osaka569-1095‚ Japan nomura@sc.kutc.kansai-u.ac.jp Abstract Time series analysis is one of important issues in science‚ engineering‚ and so on. Up to the present statistical methods[1] such as AR model[2] and Kalman filter[3] have been successfully applied‚ however‚ those statistical methods may have problems for solving highly nonlinear
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report on the time-series analysis of continuously compounded returns for Ford and GM for the periods January 2002 till April 2007 using monthly stock prices. This analysis is aimed at estimating the ARIMA model that provides the best forecast for the series. This paper will be divided into 2 sections; the first section showing the Ford analysis and the second the GM analysis. Section 1: Ford Figure 1: Time series plot for raw Ford data. Figure 1 shows a time series plot of the raw
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Series FOURIER SERIES Graham S McDonald A self-contained Tutorial Module for learning the technique of Fourier series analysis q Table of contents q Begin Tutorial c 2004 g.s.mcdonald@salford.ac.uk Table of contents 1. 2. 3. 4. 5. 6. 7. Theory Exercises Answers Integrals Useful trig results Alternative notation Tips on using solutions Full worked solutions Section 1: Theory 3 1. Theory q A graph of periodic function f (x) that has period L exhibits the same pattern every L units along the
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