000 02935nam a22004335i 4500
001 978-0-387-28505-4
003 DE-He213
005 20250710083942.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387285054
_a99780387285054
024 7 _a10.1007/0-387-28505-9
_2doi
082 0 4 _a519.2
_223
100 1 _aLefebvre, Mario.
_eauthor.
245 1 0 _aApplied Probability and Statistics
_h[recurso electrónico] /
_cby Mario Lefebvre.
264 1 _aNew York, NY :
_bSpringer New York,
_c2006.
300 _aXVII, 373 p. 58 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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 _aThis 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 _aMATHEMATICS.
650 0 _aCOMPUTER SCIENCE.
650 0 _aDISTRIBUTION (PROBABILITY THEORY).
650 0 _aSTATISTICS.
650 1 4 _aMATHEMATICS.
650 2 4 _aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650 2 4 _aSTATISTICS FOR ENGINEERING, PHYSICS, COMPUTER SCIENCE, CHEMISTRY & GEOSCIENCES.
650 2 4 _aPROBABILITY AND STATISTICS IN COMPUTER SCIENCE.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387284545
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-28505-9
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c56832
_d56832