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The Eve of Destruction
As I mingled among my fellow graduates, my view of the future did not extend much beyond the following day, when I would be heading to the beach. College in the fall was too far in the future to contemplate now. The only days that held relevance were the next ninety-nine, which would fashion what I hoped to be my best summer yet. So begins The Eve of Destruction, David Dickey's coming-of-age tale about the summer of 1965, a tranquil time when the country rested unwittingly on the brink of a cultural revolution. Follow eighteen-year-old Dane, Woody, and the crew around their Southern California neighborhoods as they experience the ups and downs of friendship and young love, and wrestle with some of life's basal choices. Join them on misadventures and general teenage mischief as they seek revelry and endure summer jobs. With music, cars, and popular culture of the decade woven into the backdrop, The Eve of Destruction is a nostalgic story about the 1960's and a worthy ode to the Boomer generation.
SAS for Forecasting Time Series, Third Edition
To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of ...
Applied Regression Analysis
Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consu...
The Demand for Money
This is the most comprehensive textbook available on the money demand function and its role in modern macroeconomics. The book takes a microeconomic- and aggregation-theoretic approach to the topic and presents empirical evidence using state-of-the-art econometric methodology, while recognizing the existence of unsolved problems and the need for further developments. The new edition is fully revised and includes new chapters.
Statistical Methods for Food and Agriculture
This classic book will meet the needs of food and agricultural industries in both their research and business needs. Learn the fundamentals of applying statistics to the business and research needs in the food and agricultural industries. Statistical Methods for Food and Agriculture is a practical, hands-on resource that explores how statistics, a relatively recent development for science and business, facilitates the decision-making process. The range of techniques and applications explained and demonstrated in each of the four major sections of this volume provides a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economic...
SAS for Forecasting Time Series
Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.
Reports of Cases in Equity Argued and Determined in the Supreme Court of North Carolina
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The Fascination of Statistics
This book demonstrates how numbers open up new ways of thinking about problems and addresses current issues for which statistics has practical applications. The articles are classified according to probability, condensing data, testing, estimation, experimental design, prediction, and modelling.
