Joglekar Anand (41 results)

Hardcover. Condition: Very Good. Book has light rubbing and surface scratches to covers, gentle bumping to ends of spine and corners. Otherwise, the book is in very good condition with strong binding and clean, bright, unmarked pages that look and feel near unread. A sharp copy overall.

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

Paperback. Condition: Dark blue paper binding. Facsimile Reprint of the 1973 original. Ann Arbor, Michigan: University Microfilms International, 1974. Appears unread - fresh and crisp. Near Fine condition. 6.25" wide by 8" tall. Clean, square, and tight. Flat spine with no creases. Mild EX-LIBRARY copy, with minimal library markings. Stamped "WITHDRAWN" on front endpaper. No pocket. No underlining. No highlighting. No margin notes. Author's PhD dissertation, submitted in 1973 to The University of Wisconsin. Illustrated with numerous figures and tables. Seven appendices. Bibliography. Facsimile Reprint of the 1973 original. Softcover. Dark blue paper binding/No Dust Jacket, as issued. xi, 180pp.

Condition: New.

Condition: New.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780471203421.

Hardcover. Condition: new. Hardcover. HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics. * Concisely communicates ten practically useful statistical methods that are widely applicable to research, product design, process design, validation, manufacturing and continuous improvement in many different industries. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 568.

Condition: New. pp. xviii + 263 Illus.

Condition: New. pp. xviii + 263 Index.

Condition: New. * Concisely communicates ten practically useful statistical methods that are widely applicable to research, product design, process design, validation, manufacturing and continuous improvement in many different industries. Num Pages: 288 pages, Illustrations. BIC Classification: KJMV5; PN; TGPQ. Category: (P) Professional & Vocational. Dimension: 243 x 165 x 24. Weight in Grams: 538. . 2010. 1st Edition. Hardcover. . . . .

Hardcover. Condition: new. Hardcover. HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics. * Concisely communicates ten practically useful statistical methods that are widely applicable to research, product design, process design, validation, manufacturing and continuous improvement in many different industries. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

hardcover. Condition: Wie neu. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 237531,238939 Sprache: Englisch Gewicht in Gramm: 830.

Condition: New.

Condition: New.

Hardcover. Condition: Brand New. 1st edition. 263 pages. 9.75x6.50x1.00 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: New. * Concisely communicates ten practically useful statistical methods that are widely applicable to research, product design, process design, validation, manufacturing and continuous improvement in many different industries. Num Pages: 288 pages, Illustrations. BIC Classification: KJMV5; PN; TGPQ. Category: (P) Professional & Vocational. Dimension: 243 x 165 x 24. Weight in Grams: 538. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condition: New.

Condition: New. In.

Condition: New.

Hardcover. Condition: new. Hardcover. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisionsDetermine the amount of data to collectCompare product and process designsBuild equations relating inputs and outputsEstablish specifications and validate processesReduce risk and cost-of-process controlQuantify and reduce economic loss due to variabilityEstimate process capability and plan process improvementsIdentify key causes and their contributions to variabilityAnalyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 779.

Condition: New. pp. 344.

Hardcover. Condition: new. Hardcover. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisionsDetermine the amount of data to collectCompare product and process designsBuild equations relating inputs and outputsEstablish specifications and validate processesReduce risk and cost-of-process controlQuantify and reduce economic loss due to variabilityEstimate process capability and plan process improvementsIdentify key causes and their contributions to variabilityAnalyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisionsDetermine the amount of data to collectCompare product and process designsBuild equations relating inputs and outputsEstablish specifications and validate processesReduce risk and cost-of-process controlQuantify and reduce economic loss due to variabilityEstimate process capability and plan process improvementsIdentify key causes and their contributions to variabilityAnalyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject. A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. pp. 344.