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Sequence Analysis and Related Approaches

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Cover of 'Sequence Analysis and Related Approaches'

Table of Contents

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    Book Overview
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    Chapter 1 Sequence Analysis: Where Are We, Where Are We Going?
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    Chapter 2 Do Different Approaches in Population Science Lead to Divergent or Convergent Models?
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    Chapter 3 Case Studies of Combining Sequence Analysis and Modelling
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    Chapter 4 Glass Ceilings, Glass Escalators and Revolving Doors
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    Chapter 5 Modelling Mortality Using Life Trajectories of Disabled and Non-Disabled Individuals in Nineteenth-Century Sweden
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    Chapter 6 Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event
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    Chapter 7 Network Analysis of Sequence Structures
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    Chapter 8 Relational Sequence Networks as a Tool for Studying Gendered Mobility Patterns
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    Chapter 9 Multiphase Sequence Analysis
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    Chapter 10 Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design
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    Chapter 11 Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data
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    Chapter 12 Markovian-Based Clustering of Internet Addiction Trajectories
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    Chapter 13 Divisive Property-Based and Fuzzy Clustering for Sequence Analysis
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    Chapter 14 From 07.00 to 22.00: A Dual-Earner Couple’s Typical Day in Italy
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    Chapter 15 Measuring Sequence Quality
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    Chapter 16 An Index of Precarity for Measuring Early Employment Insecurity
Attention for Chapter 6: Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event
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Chapter title
Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event
Chapter number 6
Book title
Sequence Analysis and Related Approaches
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-319-95420-2_6
Book ISBNs
978-3-31-995419-6, 978-3-31-995420-2
Authors

Florence Rossignon, Matthias Studer, Jacques-Antoine Gauthier, Jean-Marie Le Goff

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Other 2 17%
Student > Master 2 17%
Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Social Sciences 7 58%
Economics, Econometrics and Finance 1 8%
Unspecified 1 8%
Unknown 3 25%