00722nam0 2200241 450 00001338120080623105746.020080623d1981----km-y0itay50------baengGBy-------001yy<<A >>treatise on the family[Gary S. Becker]LondonHarvard university press1981XII, 288 p.25 cmFamigliaAspetti economici306.819Matrimonio e famiglia306.8519FamigliaBecker,Gary S.118957ITUNIPARTHENOPE20080623RICAUNIMARC000013381022/1506727NAVA2Treatise on the Family454856UNIPARTHENOPE04320nam 22007335 450 991043803530332120250610110549.03-642-38300-910.1007/978-3-642-38300-7(CKB)3710000000015861(EBL)1398297(SSID)ssj0000988178(PQKBManifestationID)11540870(PQKBTitleCode)TC0000988178(PQKBWorkID)10951414(PQKB)11112951(DE-He213)978-3-642-38300-7(MiAaPQ)EBC6310651(MiAaPQ)EBC1398297(Au-PeEL)EBL1398297(CaPaEBR)ebr10968910(OCoLC)856162539(PPN)172426952(MiAaPQ)EBC29449144(EXLCZ)99371000000001586120130802d2013 u| 0engur|n|---|||||txtccrIntroduction to Probability and Statistics for Engineers /by Milan Holický1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (188 p.)Description based upon print version of record.3-642-38299-1 Foreword -- 1 Introduction -- 2.Basic Concepts of Probability -- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables -- 5.Selected Models of Discrete Variables -- 6.Selected Models of Continuous Variables -- 7.Functions of Random Variables -- 8.Estimations of the Population Parameters -- 9.Fractiles of Random Variables -- 10.Testing of Statistical Hypotheses -- 11.Correlation and Regression -- 12.Random Functions -- Appendixes.  .The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.StatisticsEngineering designEngineeringProbabilitiesStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Engineering Designhttps://scigraph.springernature.com/ontologies/product-market-codes/T17020Engineering, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/T00004Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Statistics.Engineering design.Engineering.Probabilities.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Engineering Design.Engineering, general.Probability Theory and Stochastic Processes.519.5Holický Milanauthttp://id.loc.gov/vocabulary/relators/aut345420MiAaPQMiAaPQMiAaPQBOOK9910438035303321Introduction to Probability and Statistics for Engineers2494434UNINA