9780521879149 - Generalized Linear Models for Insurance Data International Series on Actuarial Science by De Jong, Piet; Heller, Gillian Z (22 results)

Condition: Good. Exact ISBN match. Immediate shipping. No funny business.

Hardcover. Condition: Very Good. The copy shows minor external wear, but is in otherwise good condition.

Hardcover, 196 pages. Condition: Like New. Fourth Printing. Fourth Printing.Like New. Extremely minor bump to top right corner of front board. Corner fold to top right corner of page 43/44.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Condition: New. pp. 208 Index.

Hardcover. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock.

Hardback. Condition: New. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Condition: New. All techniques illustrated on data sets relevant to insurance; SAS code and output, data sets, exercise solutions on website Series: International Series on Actuarial Science. Num Pages: 208 pages, 34 b/w illus. 5 colour illus. 43 tables 25 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 154 x 15. Weight in Grams: 444. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Condition: New. All techniques illustrated on data sets relevant to insurance; SAS code and output, data sets, exercise solutions on website Series: International Series on Actuarial Science. Num Pages: 208 pages, 34 b/w illus. 5 colour illus. 43 tables 25 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 154 x 15. Weight in Grams: 444. . 2008. 1st Edition. Hardcover. . . . .

Hardcover. Condition: new. Hardcover. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website. Actuaries should have the tools they need. Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals let readers consolidate skills. SAS code and output, data sets, exercise solutions on website. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.

Hardcover. Condition: new. Hardcover. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website. Actuaries should have the tools they need. Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals let readers consolidate skills. SAS code and output, data sets, exercise solutions on website. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Print on Demand pp. 208 Illus.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Actuaries should have the tools they need. Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals let readers consolidate skills. SA.

Condition: New. PRINT ON DEMAND pp. 208.

Hardcover. Condition: new. Hardcover. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website. Actuaries should have the tools they need. Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals let readers consolidate skills. SAS code and output, data sets, exercise solutions on website. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.