|
MILLER AND FREUND`S PROBABILITY AND STATISTICS FOR ENGINEERS
JOHNSON R. wydawnictwo: PRENTICE HALL , rok wydania 2000, wydanie VI cena netto: 271.00 Twoja cena 257,45 zł + 5% vat - dodaj do koszyka Miller and Freund's
Probablility and Statistics for Engineers, 6/e
Richard A. Johnson ,
University of Wisconsin-Madison
Published December 1999 by Engineering/Science/Mathematics
Copyright 2000, 622 pp.
Cloth Bound with Disk ISBN 0-13-014158-5
Disk included
Summary
For an introductory, one/two
semester, junior/senior level course in Probability and Statistics or Applied Statistics
for engineering, physical science, and mathematics students.
This example and
exercise-rich exploration of both elementary probability and basic statistics places a
strong emphasis on engineering and science applications, many using data collected from
the author's consulting experience. In later chapters, there is an emphasis on designed
experiments, especially two-level factorial design.
Features
- NEW-Several
new data sets have been added-Drawn from both the author's own consulting activities and
discussions with scientists and engineers about their statistical problems.
- Help
to illustrate the statistical methods and reasoning required in order to draw
generalizations from data collected in actual experiments.
- NEW-New
case studies included in the first two chapters.
- These
applications illustrate the power of even simple statistical methods to suggest changes
that make major improvements in production processes.
- NEW-Expanded
Chapter 1-Includes material on the distinction between sample and population, good and
bad samples, and the use of a random number table to choose samples.
- Exposes
students to important, basic issues early.
- NEW-Improved
standard normal distribution material-The normal table now includes both negative and
positive z values. Further, graphs of the normal density are used to guide students in
evaluating normal probabilities.
- Saves
the student manipulations when evaluating normal probability.
- NEW-Graphs
of the sampling distribution showing the critical region and P value now accompany the
examples of testing hypotheses.
- These
graphs help reinforce student understanding of the critical region, significance level,
and P value.
- NEW-Additional
summary tables of testing procedures.
- Makes
for easier summary reference for students.
- NEW-Improved
coverage of curve fitting-Enhanced introduction to fitting a straight line by least
squares. The role of the correlation coefficient and its own properties are highlighted.
- What
was previously a cumbersome presentation is now much more streamlined providing for
greater clarification.
- NEW-Expanded
section on the graphic presentation of 22 and 23 designs-Now includes coverage of
blocking.
- Serves
as a stand-alone introduction to the design of experiments for those instructors who can
only devote two or three lectures to the subject.
- Clear,
concise presentation.
- Vast,
rich collection of exercises.
- Solid
treatment of confidence interval techniques and hypothesis testing procedures.
- Clearly
and consistently delineates for students the steps for hypothesis testing in each
application.
- Clear,
current coverage of two-level factorial design.
- To
explore interactions, engineers have to know about experiments where more than one
variable has been changed at the same time in design.
- Full
chapter on modern ideas of quality improvement.
- Provides
up-to-date coverage of this popular and significant trend in the field.
- Accessible
discussion on joint distributions and the properties of expectation.
- This
is a difficult topic not always covered in the course, but if so desired, here is a nice,
quick treatment of it.
Table of Contents
1. Introduction.
2. Treatment of Data.
3. Probability.
4. Probability Distributions.
5. Probability Densities.
6. Sampling Distribution.
7. Inferences Concerning Means.
8. Inferences Concerning Variances.
9. Inferences Concerning Proportions.
10. Nonparametric Tests.
11. Curve Fitting.
12. Analysis of Variance.
13. Factorial Experimentation.
14. The Statistical Content of Quality-Improvement Programs.
15. Applications to Reliability and Life Testing.
Bibliography.
Statistical Tables.
Answers to Odd-Numbered Exercises.
Index.
Po otrzymaniu zamówienia poinformujemy,
czy wybrany tytuł polskojęzyczny lub
anglojęzyczny jest aktualnie na półce księgarni.
|
