Fundamentals Of Probability And Statistics For Engineers 1st Edition T T Soong by T T Soong 9780470868133, 9780470868140, 9780470868157, 0470868139, 0470868147, 0470868155 instant download after payment.

Preface

This book was written for an introductory one-semester or two-quarter course

in probability and statistics for students in engineering and applied sciences. No

previous knowledge of probability or statistics is presumed but a good understanding

of calculus is a prerequisite for the material.

The development of this book was guided by a number of considerations

observed over many years of teaching courses in this subject area, including the

following: .As an introductory course, a sound and rigorous treatment of the basic

principles is imperative for a proper understanding of the subject matter

and for confidence in applying these principles to practical problem solving.

A student, depending upon his or her major field of study, will no doubt

pursue advanced work in this area in one or more of the many possible

directions. How well is he or she prepared to do this strongly depends on

his or . her mastery of the fundamentals. It is important that the student develop an early appreciation for applications.

Demonstrations of the utility of this material in nonsuperficial applications

not only sustain student interest but also provide the student with

.stimulation to delve more deeply into the fundamentals. Most of the students in engineering and applied sciences can only devote one

semester or two quarters to a course of this nature in their programs.

Recognizing that the coverage is time limited, it is important that the material

be self-contained, representing a reasonably complete and applicable body of

knowledge.

The choice of the contents for this book is in line with the foregoing

observations. The major objective is to give a careful presentation of the

fundamentals in probability and statistics, the concept of probabilistic modeling,

and the process of model selection, verification, and analysis. In this text,

definitions and theorems are carefully stated and topics rigorously treated

but care is taken not to become entangled in excessive mathematical details.

Practical examples are emphasized; they are purposely selected from many

different fields and not slanted toward any particular applied area. The same

objective is observed in making up the exercises at the back of each chapter.

Because of the self-imposed criterion of writing a comprehensive text and

presenting it within a limited time frame, there is a tight continuity from one

topic to the next. Some flexibility exists in Chapters 6 and 7 that include

discussions on more specialized distributions used in practice. For example,

extreme-value distributions may be bypassed, if it is deemed necessary, without

serious loss of continuity. Also, Chapter 11 on linear models may be deferred to

a follow-up course if time does not allow its full coverage.