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Johannes Ledolter is a Professor of Statistics and Actuarial Sciences at the University of Iowa as well as a C. Maxwell Stanley Professor of International Operations Management at the Henry B. Tippie College of Business. Ledolter received his M.S. and Ph.D. degrees in Statistics from the University of Wisconsin-Madison along with an M.S degree in Social and Economic Statistics from the University of Vienna. His research interests are in time series analysis, forecasting, and applied statistical modeling. His publications have appeared in Biometrika, Technometrics, Communications in Statistics, and Management Science. He is the co-author of several books including Experimental Design with Applications in Marketing and Service Operations, Introduction to Regression Modeling, Statistical Quality Control, and Statistical Methods for Forecasting.
Robert V. Hogg, Professor Emeritus of Statistics at the University of Iowa since 2001, received his B.A. in mathematics at the University of Illinois and his M.S. and Ph.D. degrees in mathematics, specializing in actuarial sciences and statistics, from the University of Iowa. Known for his gift of humor and his passion for teaching, Hogg has had far-reaching influence in the field of statistics. Throughout his career, Hogg has played a major role in defining statistics as a unique academic field, and he almost literally "wrote the book" on the subject. He has written more than 70 research articles and co-authored four books including Introduction of Mathematical Statistics, 6th edition, with J. W. McKean and A.T. Craig, as well as Probability and Statistical Inference, 8th edition and A Brief Course in Mathematical 1st edition, both with E.A. Tanis. His texts have become classroom standards used by hundreds of thousands of students
Among the many awards he has received for distinction in teaching, Hogg has been honored at the national level (the Mathematical Association of America Award for Distinguished Teaching), the state level (the Governor's Science Medal for Teaching), and the university level (Collegiate Teaching Award). His important contributions to statistical research have been acknowledged by his election to fellowship standing in the ASA and the Institute of Mathematical Statistics.
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|Collection and Analysis of Information|
|Types of Data|
|The Study of Variability|
|Importance of Variability (or Lack Thereof) for Quality and Productivity Improvement|
|Measurements Collected over Time|
|Control Charts: A Special Case of Time-Sequence Plots|
|Data Display and Summary|
|Summary and Display of Measurement Data|
|Measures of Location|
|Measures of Variation|
|Exploratory Data Analysis: Stem-and-Leaf Displays and Box-and-Whisker Plots|
|Analysis of Categorical Data|
|Comparisons of Samples: The Importance of Stratification|
|Comparing Two Types of Wires|
|Comparing Lead Concentrations from Two Different Years|
|Number of Flaws for Three Different Products|
|Effects of Wind Direction on the Water Levels of Lake Neusiedl|
|Graphical Techniques, Correlation, and an Introduction to Least Squares|
|The Challenger Disaster|
|The Sample Correlations Coefficient as a Measure of Association in a Scatter Plot|
|Introduction to Least Squares|
|The Importance of Experimentation|
|Design of Experiments|
|Design of Experiments with Several Factors and the Determination of Optimum Conditions|
|Available Statistical Computer Software and the Visualization of Data|
|The Visualization of Da|
|Table of Contents provided by Publisher. All Rights Reserved.|