Statistics for Business and Economics

Ön Kapak
Pearson Education, 2013 - 792 sayfa

Were you looking for the book with access to MyMathLab? Buy Statistics for Business and Economics: Global Edition with MyMathLab access card (ISBN 9780273767176) and save 40%.

For courses in Business Statistics.

A classic text for accuracy and statistical precision.

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

Need extra support? This title can be supported by MyMathLab Global, an online homework and tutorial system which can be used by students for self-directed study or fully integrated into an instructor's course.

This product is the book alone, and does NOT come with access to MyMathLab Global.

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Yazar hakkında (2013)

Paul Newbold was born in England in 1945. In 1966 he obtained a BSc in Economics at the London School of Economics, before continuing to study for a PhD in Statistics at the University of Wisconsin. He worked under the supervision of George Box, and was awarded his PhD in 1970. His first academic posts were at the University of Nottingham, where he spent time in both the Department of Economics and the Department of Mathematics. From 1979-1994 he was Professor at the University of Illinois, before returning to the University of Nottingham in 1994 as Professor of Econometrics. Paul Newbold has had a large influence on the discipline of time series econometrics, particularly in the areas of non-stationary time series, forecasting, and univariate time series analysis. He has published extensively in journals such as Journal of Econometrics, Journal of Business and Economic Statistics, Journal of the American Statistical Association, Biometrika, and Econometric Theory. He retired in 2006 and is now Emeritus Professor of Econometrics.

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