000			02030nam a2200277Ia 4500
001			344238
003			0000000000
005			20211104091607.0
008			170920s2017 nju b 001 0 eng c
040			_erda
050			_aQA 280 _b.W436 2017
100			_aWeiss, Christian H., _d-1977 _9127442
245		3	_aAn introduction to discrete-valued time series / _cby Christian Weiss.
264			_aHoboken, NJ : _bJohn Wiley & Sons, _c2017
300			_axv, 284 pages : _billustrations ; _c23 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
505			_aA first approach for modeling time series of counts : the thinning-based INAR (1) model -- Further thinning-based models for count time series -- INGARCH models for count time series -- Further models for count time series -- Analyzing categorical time series -- Models for categorical time series -- Control charts for count processes -- Control charts for categorical processes.
520			_aAn Introduction to Discrete-Valued Time Series provides a much needed introduction to the field of discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modelling, and throughout numerous examples illustrate the various models used in discrete-valued time series applications. Statistical Process Control (SPC) is also featured and provides coverage on the types of control charts such as cumulative sum control charts (CUSUM) and performance evaluation. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basic essentials of these approaches summarized in the Appendix. Data examples are also featured whilst all necessary R code is housed on a companion website. --Amazon.co.uk
650			_aDiscrete-time systems _9103964
650			_aTime-series analysis. _929980
942			_cCIR
999			_c91080 _d91080