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Best fit lines and curves, and some mathe-magical transformations / Alan Jones

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Working guides to estimating & forecasting ; volume 3Publisher: London ; New York : Routledge, 2019Description: 1 Online-RessourceISBN:
  • 1351661434
  • 9781351661430
  • 1315160080
  • 9781315160085
Subject(s): Additional physical formats: 9781138065000. | Erscheint auch als: Working guides to estimating & forecasting series ; Volume 3: Best fit lines and curves, and some mathe-magical transformations. Druck-Ausgabe London : Routledge, Taylor & Francis Group, 2019. xxxii, 497 SeitenDDC classification:
  • 519.5/6
RVK: RVK: QH 234LOC classification:
  • T57.35
Online resources: Summary: 1.2.7 Caveat augur1.2.8 Worked examples; 1.2.9 Useful Microsoft Excel functions and facilities; 1.2.10 References to authoritative sources; 1.2.11 Chapter reviews; 1.3 Overview of chapters in this volume; 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' series; 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling; 1.4.2 Volume II: Probability, Statistics and Other Frightening Stuff; 1.4.3 Volume III: Best Fit Lines and Curves, and Some Mathe-Magical Transformations; 1.4.4 Volume IV: Learning, Unlearning and Re-learning curvesSummary: 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models1.5 Final thoughts and musings on this volume and series; References; 2 Linear and nonlinear properties (!) of straight lines; 2.1 Basic linear properties; 2.1.1 Inter-relation between slope and intercept; 2.1.2 The difference between two straight lines is a straight line; 2.2 The Cumulative Value (nonlinear) property of a linear sequence; 2.2.1 The Cumulative Value of a Discrete Linear Function; 2.2.2 The Cumulative Value of a Continuous Linear Function; 2.2.3 Exploiting the Quadratic Cumulative Value of a straight lineSummary: 2.3 Chapter reviewReference; 3 Trendsetting with some Simple Moving Measures; 3.1 Going all trendy: The could and the should; 3.1.1 When should we consider trend smoothing?; 3.1.2 When is trend smoothing not appropriate?; 3.2 Moving Averages; 3.2.1 Use of Moving Averages; 3.2.2 When not to use Moving Averages; 3.2.3 Simple Moving Average; 3.2.4 Weighted Moving Average; 3.2.5 Choice of Moving Average Interval: Is there a better way than guessing?; 3.2.6 Can we take the Moving Average of a Moving Average?; 3.2.7 A creative use for Moving Averages -- A case of forward thinkingSummary: 3.2.8 Dealing with missing data3.2.9 Uncertainty Range around the Moving Average; 3.3 Moving Medians; 3.3.1 Choosing the Moving Median Interval; 3.3.2 Dealing with missing data; 3.3.3 Uncertainty Range around the Moving Median; 3.4 Other Moving Measures of Central Tendency; 3.4.1 Moving Geometric Mean; 3.4.2 Moving Harmonic Mean; 3.4.3 Moving Mode; 3.5 Exponential Smoothing; 3.5.1 An unfortunate dichotomy; 3.5.2 Choice of Smoothing Constant, or Choice of Damping Factor; 3.5.3 Uses for Exponential Smoothing; 3.5.4 Double and Triple Exponential SmoothingSummary: Cover; Title; Copyright; Dedication; Contents; List of Figures; List of Tables; Foreword; 1 Introduction and objectives; 1.1 Why write this book? Who might find it useful? Why five volumes?; 1.1.1 Why write this series? Who might find it useful?; 1.1.2 Why five volumes?; 1.2 Features you'll find in this book and others in this series; 1.2.1 Chapter context; 1.2.2 The lighter side (humour); 1.2.3 Quotations; 1.2.4 Definitions; 1.2.5 Discussions and explanations with a mathematical slant for Formula-philes; 1.2.6 Discussions and explanations without a mathematical slant for Formula-phobesPPN: PPN: 1032009586Package identifier: Produktsigel: ZDB-4-NLEBK
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