000			01751nam a2200265Ia 4500
003			OSt
005			20250731103704.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781466594098
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aB280aX Q5 TOR _qCSL
100			_aMoss, Charles B _eauthor
245		0	_aMathematical statistics for applied econometrics
260			_aBoca _bRaton CRC _c2015
300			_axx, 343p. _b: ill.
500			_aAppendix A-E 299-331p.; Glossary 333-336p.; References 337-340p.; Index 341-343p.
520			_aMathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques. Uses Computer Systems to Simplify Computation The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques.
650			_a Point estimation _9817012
650			_a Testing hypotheses _9817013
650			_aLarge sample theory _9732879
942			_hB280aX Q5 TOR _cTEXL _2CC _n0
999			_c6553 _d6553