Sociology Index

SEQUENTIAL ANALYSIS

As used by ethnomethodologists sequential analysis is the same as conversational analysis. Sequential analysis or conversation analysis is one of three central themes that are the focus of ethnomethodology, the other two being mundane reasoning and membership categorization. Sociologists typically examine talk or conversation, through sequential analysis, as a resource to learn something of people's attitudes, the ways people's lives are structured and how people differ from each other in their values and assumptions. The ethnomethodologist, on the other hand, treats talk or conversation as a topic to learn how ordinary members of society use properties of talk (eg: its sequential properties) in order to do things with words.

A great deal of research through sequential analysis has been done on the structure of turn taking, story telling and openings. Conversational analysis is also known as sequential analysis. The three central themes that are the focus of ethnomethodology, are conversational analysis, membership categorization and mundane reasoning.

Sequential Analysis of Deterrrance Games with Declining Status Quo
Carlson, Lisa. and Dacey, Raymond.
Paper presented at the annual meeting of the International Studies Association
ABSTRACT: We examine the traditional deterrence game between Challenger and Defender under two specific conditions. First, we examine the one-sided incomplete information game where Challenger is uncertain about Defender’s preference ordering. Second, we examine the game under the condition that the status quo is declining.

Books On Sequential Analysis

Sequential Analysis
Hypothesis Testing and Changepoint Detection, 1st Edition
By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville
Chapman and Hall/CRC.
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential Analysis hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently.
The book treats both conventional i.i.d. and general non-i.i.d. stochastic models in detail, including Markov, hidden Markov, state-space, regression analysis, and autoregression models. Rigorous proofs are given for the most important results.
Written by leading authorities in the field, this book covers the theoretical developments and applications of sequential Analysis hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It explains how the theoretical aspects influence the hypothesis testing and changepoint detection problems as well as the design of algorithms.