Applied Probability and Statistics

This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Lefebvre, Mario (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2006.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03013nam a22004815i 4500
001 978-0-387-28505-4
003 DE-He213
005 20151204164405.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 |a 9780387285054  |9 978-0-387-28505-4 
024 7 |a 10.1007/0-387-28505-9  |2 doi 
040 |d GrThAP 
050 4 |a QA273.A1-274.9 
050 4 |a QA274-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.2  |2 23 
100 1 |a Lefebvre, Mario.  |e author. 
245 1 0 |a Applied Probability and Statistics  |h [electronic resource] /  |c by Mario Lefebvre. 
264 1 |a New York, NY :  |b Springer New York,  |c 2006. 
300 |a XVIII, 358 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises. 
520 |a This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors. 
650 0 |a Mathematics. 
650 0 |a Mathematical statistics. 
650 0 |a Probabilities. 
650 0 |a Statistics. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Probability and Statistics in Computer Science. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387284545 
856 4 0 |u http://dx.doi.org/10.1007/0-387-28505-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)