000			01106nam a2200217Ia 4500
999			_c2098 _d2098
003			11233
005			20200113111521.0
008			191015s9999||||xx |||||||||||||| ||und||
020			_a0-13-087810-3
040			_cB000
041			_aCIC-UMAD
050			_aHD30.27 _bH36
100			_aHanke, John E. ; Wichern, Dean W. ; Reitsch, Arthur G. _92036
245		0	_aBusiness Forecasting
250			_a7a
260			_aMéxico _bPrentice Hall _c2001
300			_a498 p _b26 x 20 cm
502			_aChapter 1: Introduction to forecasting. Chapter 2: A review of basic statistical concepts. Chapter 3: Exploring data patterns and choosing a forecasting technique. Chapter 4: Moving averages and smoothing methods. Chapter 5: Time series and their components. Chapter 6: Simple linear regression. Chapter 7: Multiple regression analysis. Chapter 8: Regression with time series data. Chapter 9: The box-Jenkins (ARIMA) methodology. Chapter 10: Judgmental elements in forecasting. Chapter 11: Managing the forecasting process.
650			_aEstadística, Administración, Casos de Estudios _92037
942			_2lcc _cBK