thông tin biểu ghi
  • Sách tham khảo
  • Ký hiệu PL/XG: 519.2 M6231D
    Nhan đề: A modern introduction to probability and statistics :

ISBN 9781852338961
DDC 519.2
Tác giả CN Dekking, Michel
Nhan đề A modern introduction to probability and statistics : understanding why and how / Michel Dekking, Cor Kraaikamp, Hendrik P Lopuhaä...
Thông tin xuất bản London : Springer, 2005
Mô tả vật lý 486 p. ;
Tóm tắt "A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. The only pre-requisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap." "This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects."
Từ khóa tự do Probabilities
Từ khóa tự do Mathematical statistics
Từ khóa tự do Manuels d'enseignement supérieur.
Khoa Khoa Cơ bản
Tác giả(bs) CN Kraaikamp, Cornelis
Tác giả(bs) CN Lopuhaä, Hendrik P
Tác giả(bs) CN Meester, Erwin
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |aDekking, Michel
245 |aA modern introduction to probability and statistics : |bunderstanding why and how / |cMichel Dekking, Cor Kraaikamp, Hendrik P Lopuhaä...
260 |aLondon : |bSpringer, |c2005
300 |a486 p. ;
520 |a"A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to the students. In addition the book contains over 350 exercises, half of which have answers, of which half have full solutions. The only pre-requisite for the book is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to useful modern methods such as the bootstrap." "This will be a key text for undergraduates in Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematical statistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects."
541|aSpringer
653 |aProbabilities
653 |aMathematical statistics
653 |aManuels d'enseignement supérieur.
690 |aKhoa Cơ bản
700 |a Kraaikamp, Cornelis
700 |aLopuhaä, Hendrik P
700 |aMeester, Erwin
852 |aThư Viện Đại học Nguyễn Tất Thành
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