Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

JMP for Mixed Models

by Ruth Hummel , Elizabeth a. Claassen , Russell D. Wolfinger
Save 11% Save 11%
Current price ₹4,432.00
Original price ₹4,995.00
Original price ₹4,995.00
Original price ₹4,995.00
(-11%)
₹4,432.00
Current price ₹4,432.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781951684020
  • Binding: Paperback
  • Subject: N/A
  • Publisher: SAS Institute
  • Publisher Imprint: SAS Institute
  • Publication Date:
  • Pages: 262
  • Original Price: GBP 39.48
  • Language: English
  • Edition: N/A
  • Item Weight: 454 grams
  • BISAC Subject(s): Mathematical & Statistical Software

Discover the power of mixed models with JMP and JMP Pro.

Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straightforward and powerful way to handle correlated observations in designed experiments. Reaching well beyond standard linear models, mixed models enable you to make accurate and precise inferences about your experiments and to gain deeper understanding of sources of signal and noise in the system under study. Well-formed fixed and random effects generalize well and help you make the best data-driven decisions.

JMP for Mixed Models brings together two of the strongest traditions in SAS software: mixed models and JMP. JMP's groundbreaking philosophy of tight integration of statistics with dynamic graphics is an ideal milieu within which to learn and apply mixed models, also known as hierarchical linear or multilevel models. If you are a scientist or engineer, the methods described herein can revolutionize how you analyze experimental data without the need to write code.

Inside you'll find a rich collection of examples and a step-by-step approach to mixed model mastery. Topics include:

  • Learning how to appropriately recognize, set up, and interpret fixed and random effects
  • Extending analysis of variance (ANOVA) and linear regression to numerous mixed model designs
  • Understanding how degrees of freedom work using Skeleton ANOVA
  • Analyzing randomized block, split-plot, longitudinal, and repeated measures designs
  • Introducing more advanced methods such as spatial covariance and generalized linear mixed models
  • Simulating mixed models to assess power and other important sampling characteristics
  • Providing a solid framework for understanding statistical modeling in general
  • Improving perspective on modern dilemmas around Bayesian methods, p-values, and causal inference

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us