02450cam a22003138i 450000100090000000300050000900500170001400800410003101000170007202000310008903500130012004000360013304200080016905000200017708200230019710000370022024501130025726300090037026400580037930000300043733600260046733700280049333800270052150400510054850503620059952010480096165000160200977601110202521558087CSPC20250806161224.0200602s2020    nju      b    001 0 eng c  a  2020024702  a9781119675846q(paperback)  a21558087  aWaSeSS/DLCbengerdacDLCdCSPC  apcc00aHA29b.S45 202000a519.5bSco832s2231 aScott, David W.,d1950-eauthor.10aStatistics :ba concise mathematical introduction for students, scientists, and engineers /cDavid W. Scott.  a2008 1aHoboken, New Jersey :bJohn Wiley & Sons, Ltd,c2020.  axiv, 165 pages ; c24 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.0 aData analysis and understanding -- Classical probability -- Random variables and models derived from classical probability and postulates -- Bivariate random variables, transformations, and simulations -- Approximations and asymptotics -- Parameter estimation -- Hypothesis testing -- Confidence intervals and other hypothesis tests -- Topics in statistics.  a"The field of statistics has a rich history that has become tightly integrated into the emerging field of data sciences. Collaboration with computer scientists, numerical analysts, and decision makers characterizes the field. The role of statistics and statisticians is to find actionable information in a noisy collection of data. Every field of academic endeavor encounters this problem: from the electrical engineer trying to find a signal in a noisy channel to an English professor trying to determine the authorship of a contested newly discovered manuscript. There are two basic tasks for the statistician. First is to characterize the distribution of possible outcomes using a batch of representative data. An actuary may be asked to find a dollar loss for car accidents that is not exceeded 99.999% of the time. An economist may be asked to provide useful summaries of a collection of income data. The histogram is our primary tool here, an idea that did not appear until the 17th century; see Graunt (1662)."--cProvided by publisher. 0aStatistics.08iOnline version:aScott, David W.,tStatisticsdHoboken, NJ : Wiley, 2020.z9781119675815w(DLC) 2020024703