ISBN: 9780471156536 - Statistical Tests for Mixed Linear Models: 319 (wiley Series in Probability and Statistics) (24 results)

hardcover. Condition: Very Good. very good to like new hardcover. no marks. clean text. solid binding. very light wear. ISBN matches listing Fast service with confirmation, no international or priority orders over 4lbs.

Hardcover. Condition: As New. 1st Edition. This is a fine, as new, hardcover first edition, first printing copy, no DJ, dark blue binding, 352 pages with index.

Condition: New. pp. 384 Indices.

Condition: New. pp. 384.

Condition: New. pp. 384.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: new.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New. Unlike other books on variance components, Statistical Tests for Mixed Linear Models continues beyond point estimation to cover hypothesis and data testing. By addressing these areas, the author presents practical applications of variance component models through testing of fixed effects and variance components. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, black & white illustrations. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 167 x 26. Weight in Grams: 690. . 1998. 1st Edition. Hardcover. . . . .…

Condition: New. Unlike other books on variance components, Statistical Tests for Mixed Linear Models continues beyond point estimation to cover hypothesis and data testing. By addressing these areas, the author presents practical applications of variance component models t.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 1st edition. 352 pages. 9.75x6.75x0.75 inches. In Stock.

Condition: New. Unlike other books on variance components, Statistical Tests for Mixed Linear Models continues beyond point estimation to cover hypothesis and data testing. By addressing these areas, the author presents practical applications of variance component models through testing of fixed effects and variance components. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, black & white illustrations. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 167 x 26. Weight in Grams: 690. . 1998. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Buch. Condition: Neu. Neuware - An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random effects. This volume covers the most important research of the past decade as well as the latest developments in hypothesis testing. It compiles all currently available results in the area of exact and optimum tests for variance component models and offers the only comprehensive treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models: - Combines analysis and testing in one self-contained volume. - Describes analysis of variance (ANOVA) procedures in balanced and unbalanced data situations. - Examines methods for determining the effect of imbalance on data analysis. - Explains exact and optimum tests and methods for their derivation. - Summarizes test procedures for multivariate mixed and random models. - Enables novice readers to skip the derivations and discussions on optimum tests. Offers plentiful examples and exercises, many of which are numerical in flavor. - Provides solutions to selected exercises. Statistical Tests for Mixed Linear Models is an accessible reference for researchers in analysis of variance, experimental design, variance component analysis, and linear mixed models. It is also an important text for graduate students interested in mixed models.…

Hardcover. Condition: new. Hardcover. An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random effects. This volume covers the most important research of the past decade as well as the latest developments in hypothesis testing. It compiles all currently available results in the area of exact and optimum tests for variance component models and offers the only comprehensive treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models: Combines analysis and testing in one self-contained volume.Describes analysis of variance (ANOVA) procedures in balanced and unbalanced data situations.Examines methods for determining the effect of imbalance on data analysis.Explains exact and optimum tests and methods for their derivation.Summarizes test procedures for multivariate mixed and random models.Enables novice readers to skip the derivations and discussions on optimum tests. Offers plentiful examples and exercises, many of which are numerical in flavor.Provides solutions to selected exercises. Statistical Tests for Mixed Linear Models is an accessible reference for researchers in analysis of variance, experimental design, variance component analysis, and linear mixed models. It is also an important text for graduate students interested in mixed models. Unlike other books on variance components, Statistical Tests for Mixed Linear Models continues beyond point estimation to cover hypothesis and data testing. By addressing these areas, the author presents practical applications of variance component models through testing of fixed effects and variance components. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: Brand New. 1st edition. 352 pages. 9.75x6.75x0.75 inches. In Stock. This item is printed on demand.