Burdick richard k (80 risultati)

Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condizione: UsedVeryGood. Hardcover; includes sealed disk; light fading, light shelf wear to exterior; stamping on lower page edge; otherwise in very good condition with clean text, firm binding.

gebundene Ausgabe. Condizione: Gut. 208 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 540.…

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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

Paperback. Condizione: New. Provides a protocol for conducting gauge repeatability and reproducibility (RandR) experiments, which are required whenever a new test system is developed to monitor a manufacturing process. This protocol - not currently available in other books or technical reports - is used to determine whether the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. With an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to apply the methods easily. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.…

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 201 pages. 9.75x7.00x0.50 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condizione: New. In English.

Paperback. Condizione: New. This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry.  The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods.  The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors.  One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995).  We agreed that a more recent book would serve a need in our industry.  Since we began this project, an edited book has been published on the same topic by Zhang (2016).  The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development.  We believe our book complements Zhang by providing more detailed statistical analyses and examples. Softcover reprint of the original 1st ed. 2017.…

Condizione: Very Good. Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Dark green covers with title in white lettering; 1992, CRC Press; 230 pages; "Confidence Intervals on Variance Components (Statistics: A Series of Textbooks and Monographs)," by Richard K. Burdick & F. A. Graybill.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Condizione: New. In English.

Condizione: New. pp. XI, 379 113 illus., 80 illus. in color. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.

Kartoniert / Broschiert. Condizione: New. With an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models, this comprehensive book will be useful to scientists in all fields of application who wish to construct interv.