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The Analysis of Categorical Data Using GLIM (1989)
EN PB NWISBN: 9780387970295 bzw. 0387970290, in Englisch, Springer, Deutschland, Taschenbuch, neu.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: Springer, Berlin | The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context. | 1. One-Way Frequency Tables.- 1. A Time Trend Model.- 2. Further GLIM Instructions.- 3. A Symmetry Model.- 4. Periodicity Models.- 5. Local Effects.- 2. Time and Causality.- 1. Retrospective Studies I.- 2. Retrospective Studies II.- 3. Panel Studies.- 4. First Order Markov Chains.- 5. Second Order Markov Chains.- 3. Metric Variables.- 1. Time Trends.- 2. Model Simplification.- 4. Ordinal Variables.- 1. The Log-Multiplicative Model I.- 2. The Log-Multiplicative Model II.- 3. The Proportional Odds Model.- 4. The Continuation Ratio Model.- 5. Zero Frequencies and Incomplete Tables.- 1. Sampling Zeroes.- 2. Incomplete Tables and Quasi-independence.- 3. Population Estimation.- 4. Social Mobility.- 5. The Bradley-Terry Model.- 6. Guttman Scales.- 6. Patterns.- 1. Extremity Models.- 2. Symmetry Models.- 3. Diagonal Models.- 4. Distance and Loyalty Models.- Appendix I - GLIM Commands.- Appendix II - Data and GLIM Programs for the Examples.- Appendix III - GLIM Macros.- References. | Format: Paperback | Language/Sprache: english | 300 gr | 168 pp.
Publisher/Verlag: Springer, Berlin | The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context. | 1. One-Way Frequency Tables.- 1. A Time Trend Model.- 2. Further GLIM Instructions.- 3. A Symmetry Model.- 4. Periodicity Models.- 5. Local Effects.- 2. Time and Causality.- 1. Retrospective Studies I.- 2. Retrospective Studies II.- 3. Panel Studies.- 4. First Order Markov Chains.- 5. Second Order Markov Chains.- 3. Metric Variables.- 1. Time Trends.- 2. Model Simplification.- 4. Ordinal Variables.- 1. The Log-Multiplicative Model I.- 2. The Log-Multiplicative Model II.- 3. The Proportional Odds Model.- 4. The Continuation Ratio Model.- 5. Zero Frequencies and Incomplete Tables.- 1. Sampling Zeroes.- 2. Incomplete Tables and Quasi-independence.- 3. Population Estimation.- 4. Social Mobility.- 5. The Bradley-Terry Model.- 6. Guttman Scales.- 6. Patterns.- 1. Extremity Models.- 2. Symmetry Models.- 3. Diagonal Models.- 4. Distance and Loyalty Models.- Appendix I - GLIM Commands.- Appendix II - Data and GLIM Programs for the Examples.- Appendix III - GLIM Macros.- References. | Format: Paperback | Language/Sprache: english | 300 gr | 168 pp.
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The Analysis of Categorical Data Using GLIM (1989)
~EN PB NWISBN: 9780387970295 bzw. 0387970290, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
Lieferung aus: Schweiz, Lagernd.
The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context. Soft cover.
The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context. Soft cover.
3
The Analysis of Categorical Data Using GLIM (1989)
EN PB NWISBN: 9780387970295 bzw. 0387970290, in Englisch, Springer-Verlag New York Inc. Taschenbuch, neu.
Lieferung aus: Niederlande, Vermoedelijk 4-6 weken.
bol.com.
The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro- comp... The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro- computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context.Taal: Engels;Afmetingen: 9x234x156 mm;Gewicht: 262,00 gram;Verschijningsdatum: september 1989;ISBN10: 0387970290;ISBN13: 9780387970295; Engelstalig | Paperback | 1989.
bol.com.
The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro- comp... The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro- computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context.Taal: Engels;Afmetingen: 9x234x156 mm;Gewicht: 262,00 gram;Verschijningsdatum: september 1989;ISBN10: 0387970290;ISBN13: 9780387970295; Engelstalig | Paperback | 1989.
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The Analysis of Categorical Data Using GLIM (Lecture Notes in Statistics) (1989)
ENISBN: 9780387970295 bzw. 0387970290, in Englisch, Springer New York.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkosten nach: USA.
Von Händler/Antiquariat, Anybook Ltd.
Springer New York, 1989. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy.
Von Händler/Antiquariat, Anybook Ltd.
Springer New York, 1989. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy.
5
The analysis of Categorical Data Using GLIM. (1989)
DE PBISBN: 9783540970293 bzw. 3540970290, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, Taschenbuch.
Von Händler/Antiquariat, Antiquariat Bader Tübingen [61831228], Tübingen, Germany.
New York u.A., Springer-Verlag (1989). V, 168 Seiten m. graph. Darstellungen. Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290 Kontingenztafelanalyse ; Statistisches Modell ; GLIM, Statistik, Mathematik.
New York u.A., Springer-Verlag (1989). V, 168 Seiten m. graph. Darstellungen. Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290 Kontingenztafelanalyse ; Statistisches Modell ; GLIM, Statistik, Mathematik.
6
The analysis of Categorical Data Using GLIM. (1989)
DE PBISBN: 9783540970293 bzw. 3540970290, in Deutsch, New York u.a., Springer-Verlag (1989). Taschenbuch.
Von Händler/Antiquariat, Antiquariat Bader Tübingen [61831228], Tübingen, Germany.
V, 168 Seiten m. graph. Darstellungen. Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290 Sprache: Deutsch Gewicht in Gramm: 600 Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Books.
V, 168 Seiten m. graph. Darstellungen. Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290 Sprache: Deutsch Gewicht in Gramm: 600 Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Books.
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The analysis of Categorical Data Using GLIM.
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Lieferung aus: Deutschland, Versandkosten nach: Deutschland.
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V, 168 Seiten m. graph. Darstellungen. Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290, 600g, Internationaler Versand, offene Rechnung.
Von Händler/Antiquariat, Antiquariat Bader, [3199293].
V, 168 Seiten m. graph. Darstellungen. Gr.-8vo. Kartoniert. - (= Lecture Notes in Statistics, 56). Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290, 600g, Internationaler Versand, offene Rechnung.
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The Analysis of Categorical Data Using GLIM (Lecture Notes in Statistics) (1989)
EN PBISBN: 9780387970295 bzw. 0387970290, in Englisch, Springer, Taschenbuch.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
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Springer, 1989-09-20. Softcover reprint of the origina. Paperback. Used:Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.
Von Händler/Antiquariat, Ergodebooks.
Springer, 1989-09-20. Softcover reprint of the origina. Paperback. Used:Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.
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The Analysis of Categorical Data Using GLIM (1998)
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