Topics in circular statistics /:
"This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circ...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
River Edge, N.J. :
World Scientific,
©2001.
|
| Schriftenreihe: | Series on multivariate analysis ;
v. 5. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research the book should benefit both the researcher and the practitioner."--Jacket |
| Beschreibung: | 1 online resource (xi, 322 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 295-309) and indexes. |
| ISBN: | 9789812779267 9812779264 |
Internformat
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| author | Jammalamadaka, S. Rao Sengupta, Ashis |
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| contents | 1. Introduction. 1.1. Introduction. 1.2. Applications and Background. 1.3. Descriptive Statistics -- 2. Circular Probability Distributions. 2.1. Introduction. 2.2. Circular Distributions. 2.3. Bivariate Circular Distributions. 2.4. Generation of Circular Random Variables. 2.5. Appendix: Curved Exponential Families and CND -- 3. Some Sampling Distributions. 3.1. Introduction. 3.2. Generalized Pearson's Random Walk Problem. 3.3. Sampling Distributions for CN Distribution. 3.4. Some Large Sample Results. 3.5. Two or More Samples. 3.6. Approximate Distributions for Large [kappa] -- 4. Estimation of Parameters. 4.1. Introduction. 4.2. CN Distribution. 4.3. CN Mixtures. 4.4. ML Estimation for the WC Distribution. 4.5. Circular Beta Distribution. 4.6. WS Family. 4.7. Confidence Intervals. 4.8. Appendix: Proofs -- 5. Tests for Mean Direction and Concentration. 5.1. Introduction. 5.2. Single Population. 5.3. Two or More Populations. |
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| id | ZDB-4-EBA-ocn261344708 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:36:13Z |
| institution | BVB |
| isbn | 9789812779267 9812779264 |
| language | English |
| oclc_num | 261344708 |
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| series | Series on multivariate analysis ; |
| series2 | Series on multivariate analysis ; |
| spelling | Jammalamadaka, S. Rao, author. http://id.loc.gov/authorities/names/n2001000317 Topics in circular statistics / S. Rao Jammalamadaka, A. Sengupta. River Edge, N.J. : World Scientific, ©2001. 1 online resource (xi, 322 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Series on multivariate analysis ; v. 5 Includes bibliographical references (pages 295-309) and indexes. 1. Introduction. 1.1. Introduction. 1.2. Applications and Background. 1.3. Descriptive Statistics -- 2. Circular Probability Distributions. 2.1. Introduction. 2.2. Circular Distributions. 2.3. Bivariate Circular Distributions. 2.4. Generation of Circular Random Variables. 2.5. Appendix: Curved Exponential Families and CND -- 3. Some Sampling Distributions. 3.1. Introduction. 3.2. Generalized Pearson's Random Walk Problem. 3.3. Sampling Distributions for CN Distribution. 3.4. Some Large Sample Results. 3.5. Two or More Samples. 3.6. Approximate Distributions for Large [kappa] -- 4. Estimation of Parameters. 4.1. Introduction. 4.2. CN Distribution. 4.3. CN Mixtures. 4.4. ML Estimation for the WC Distribution. 4.5. Circular Beta Distribution. 4.6. WS Family. 4.7. Confidence Intervals. 4.8. Appendix: Proofs -- 5. Tests for Mean Direction and Concentration. 5.1. Introduction. 5.2. Single Population. 5.3. Two or More Populations. "This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research the book should benefit both the researcher and the practitioner."--Jacket Print version record. Circular data. http://id.loc.gov/authorities/subjects/sh92003616 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Données circulaires. MATHEMATICS Probability & Statistics General. bisacsh Circular data fast Mathematical statistics fast Sengupta, Ashis, author. http://id.loc.gov/authorities/names/n2005058924 has work: Topics in circular statistics (Text) https://id.oclc.org/worldcat/entity/E39PCGj4KWCwpWRKQdQbwphVwd https://id.oclc.org/worldcat/ontology/hasWork Print version: Jammalamadaka, S. Rao. Topics in circular statistics. River Edge, N.J. : World Scientific, ©2001 9810237782 9789810237783 (DLC) 2001024071 (OCoLC)46321095 Series on multivariate analysis ; v. 5. http://id.loc.gov/authorities/names/n95093809 |
| spellingShingle | Jammalamadaka, S. Rao Sengupta, Ashis Topics in circular statistics / Series on multivariate analysis ; 1. Introduction. 1.1. Introduction. 1.2. Applications and Background. 1.3. Descriptive Statistics -- 2. Circular Probability Distributions. 2.1. Introduction. 2.2. Circular Distributions. 2.3. Bivariate Circular Distributions. 2.4. Generation of Circular Random Variables. 2.5. Appendix: Curved Exponential Families and CND -- 3. Some Sampling Distributions. 3.1. Introduction. 3.2. Generalized Pearson's Random Walk Problem. 3.3. Sampling Distributions for CN Distribution. 3.4. Some Large Sample Results. 3.5. Two or More Samples. 3.6. Approximate Distributions for Large [kappa] -- 4. Estimation of Parameters. 4.1. Introduction. 4.2. CN Distribution. 4.3. CN Mixtures. 4.4. ML Estimation for the WC Distribution. 4.5. Circular Beta Distribution. 4.6. WS Family. 4.7. Confidence Intervals. 4.8. Appendix: Proofs -- 5. Tests for Mean Direction and Concentration. 5.1. Introduction. 5.2. Single Population. 5.3. Two or More Populations. Circular data. http://id.loc.gov/authorities/subjects/sh92003616 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Données circulaires. MATHEMATICS Probability & Statistics General. bisacsh Circular data fast Mathematical statistics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh92003616 http://id.loc.gov/authorities/subjects/sh85082133 |
| title | Topics in circular statistics / |
| title_auth | Topics in circular statistics / |
| title_exact_search | Topics in circular statistics / |
| title_full | Topics in circular statistics / S. Rao Jammalamadaka, A. Sengupta. |
| title_fullStr | Topics in circular statistics / S. Rao Jammalamadaka, A. Sengupta. |
| title_full_unstemmed | Topics in circular statistics / S. Rao Jammalamadaka, A. Sengupta. |
| title_short | Topics in circular statistics / |
| title_sort | topics in circular statistics |
| topic | Circular data. http://id.loc.gov/authorities/subjects/sh92003616 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Données circulaires. MATHEMATICS Probability & Statistics General. bisacsh Circular data fast Mathematical statistics fast |
| topic_facet | Circular data. Mathematical statistics. Données circulaires. MATHEMATICS Probability & Statistics General. Circular data Mathematical statistics |
| work_keys_str_mv | AT jammalamadakasrao topicsincircularstatistics AT senguptaashis topicsincircularstatistics |