Statistical Analysis of Empirical Data : Methods for Applied Sciences /: Methods for Applied Sciences. (2020)

• Record Type: Book
• Further Information: Note: Scott Pardo.
• Authors: Pardo, Scott
• Contents: Chapter 1: Fundamentals.- Chapter 2: Sample Statistics are NOT Parameters.- Chapter 3: Confidence.- Chapter 4: Multiplicity and Multiple Comparisons.- Chapter 5: Power and the Myth of Sample Size Determination.- Chapter 6: Regression and Model Fitting with Collinearity.- Chapter 7: Overparameterization.- Chapter 8: Ignoring Error Control Factors and Experimental Design.- Chapter 9: Generalized Linear Models.- Chapter 10: Mixed Models and Variance Components.- Chapter 11: Models, Models Everywhere...Model Selection.- Chapter 12: Bayesian Analyses.- Chapter 13: The Acceptance Sampling Game.- Chapter 14: Nonparametric Statistics - A Strange Name.- Chapter 15: Autocorrelated Data and Dynamic Systems.- Chapter 16: Multivariate Analysis and Classification.- Chapter 17: Time-to-Event: Survival and Life Testing.- Index.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (277 pages)
• Subjects: Statistics; Statistics ; Mathematics -- Probability & Statistics -- Bayesian Analysis; Medical -- Biostatistics; Social Science -- Statistics; Bayesian inference; Probability & statistics; Social research & statistics; Mathematics -- Probability & Statistics -- General
• Languages: English
• ISBNs: 9783030433284
• Related ISBNs: 9783030433277
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.