Actuarial Statistics: An Introduction Using R - Softcover

Deshmukh, Shailaja ; Prayag, Vidyagouri

9789393330796: Actuarial Statistics: An Introduction Using R

Softcover

ISBN 10: 9393330794 ISBN 13: 9789393330796

Verlag: Universities Press, 2024

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�ber die Autorinnen und Autoren

Shailaja Deshmukh is a visiting faculty at the Department of Statistics, Savitribai Phule Pune University (SPPU, formerly known as the University of Pune). She was earlier Professor of Statistics and Head of the Department of Statistics, SPPU. She worked as a visiting professor at the Department of Statistics, University of Michigan, Ann Arbor, Michigan, during 2009–10.

Vidyagouri Prayag worked as Reader in Statistics in Modern College, Pune and has extensive experience in teaching Statistics, Statistical Ecology, Actuarial Statistics and Computer Programming to undergraduate and postgraduate students.

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Verlag: Universities Press
Erscheinungsdatum: 2024
Sprache: Englisch
ISBN 10: 9393330794
ISBN 13: 9789393330796
Einband: Taschenbuch
Anzahl der Seiten: 448
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: Nicht verf�gbar

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Actuarial Statistics: An Introduction Using R

Deshmukh, Shailaja; Prayag, Vidyagouri

Verlag: Universities Press (India) Pvt. Ltd., 2024

ISBN 10: 9393330794 ISBN 13: 9789393330796

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Actuarial Statistics: An Introduction Using R, Second Edition

Shailaja Deshmukh and Vidyagouri Prayag

Verlag: Universities Press, 2024

ISBN 10: 9393330794 ISBN 13: 9789393330796

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Anbieter: Vedams eBooks (P) Ltd, New Delhi, Indien

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Soft cover. Zustand: New. Actuarial science is an interdisciplinary science comprising four subjectsmathematics, statistics, economics and finance. Statistics plays a key role in laying the foundation of actuarial calculations taking into account the uncertainty in the mortality pattern of society and under varying economic conditions. In the first edition of the book, we introduced some basic concepts related to computation of premiums and reserves for some standard life insurance products adopting a rigorous mathematical approach underlying the theoretical concepts. These were supported by numerical computations with R software. In this revised second edition of the book, the theoretical development has not been changed much. However, the role of R software has been extended. In each chapter, computational exercises based on R software are included to provide a hands-on experience to students. Another novel feature of this edition is the inclusion of over 160 multiple choice questions for which answers are provided. The main aim of this textbook is to provide a thorough treatment of basic techniques, theoretically and computationally using R, so that it will be suitable for self-study, particularly in the present era of online education. Artikel-Nr. 155786

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