Isbn: 9780071198592 - introduction to probability and statistics: principles and applications for engineering and the computing sciences (int'l ed) (college ie overruns) (8 resultados)

Condición: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.…

Paperback. Condición: new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: Brand New. 4th edition. 798 pages. 9.65x6.65x1.34 inches. In Stock.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical .

Buch. Condición: Neu. Neuware - This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. …

Paperback. Condición: new. Paperback. This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. - References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. - Some of the more difficult derivations have been moved to an appendix. - Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control. Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…