applied statistics

Collected Works of Jaroslav Hájek - (Wiley Probability and Statistics) (Hardcover)

Statistical Extremes and Applications - (NATO Science Series C:) by J Tiago de Oliveira (Hardcover)

Model-Based Reasoning in Science and Technology - (Studies in Applied Philosophy, Epistemology and Rational Eth) (Paperback)

Advances in Shrinkage and Penalized Estimation Strategies - (Emerging Topics in Statistics and Biostatistics) by Mohammad Arashi & Mina Norouzirad

Fundamentals of Applied Pathophysiology - 4th Edition by Ian Peate (Paperback)

Statistical Quantitative Methods in Finance - by Samit Ahlawat (Paperback)

Ai-Assisted Statistics for Data Scientists - 3rd Edition by Peter Bruce & Andrew Bruce & Peter Gedeck (Paperback)

Applying Mathematics to Construction - by Kenneth Williams (Paperback)

Causal Inference in Statistics - by Judea Pearl & Madelyn Glymour & Nicholas P Jewell (Paperback)

40 Puzzles and Problems in Probability and Mathematical Statistics - (Problem Books in Mathematics) by Wolf Schwarz (Hardcover)

A Workbook of Ethical Case Scenarios in Applied Behavior Analysis - 2nd Edition by Darren Sush & Adel C Najdowski (Paperback)

Applied Survival Analysis Using R - (Use R!) by Dirk F Moore (Paperback)

Statistics for Nursing Research - 4th Edition by Susan K Grove & Daisha J Cipher (Paperback)

The Elements of Statistical Learning - (Springer Statistics) 2nd Edition by Trevor Hastie & Robert Tibshirani & Jerome Friedman (Hardcover)

Theory of Point Estimation - (Springer Texts in Statistics) 2nd Edition by Erich L Lehmann & George Casella (Paperback)

Applied Biomechanics Lab Manual - by John C Garner & Charles Allen & Harish Chander & Adam C Knight (Loose-Leaf)

Introductory Statistics - 5th Edition by Sheldon M Ross (Paperback)

Statistical Optimal Transport - by Sinho Chewi & Jonathan Niles-Weed & Philippe Rigollet (Paperback)

Applied Mathematics: 100 Must-Know Math Methods - (De Gruyter Textbook) by Thomas Beatty (Paperback)

Nunn and Lumb's Applied Respiratory Physiology - 10th Edition by Andrew B Lumb & Caroline R Thomas (Hardcover)

Bayesian Biostatistics - (Statistics in Practice) by Emmanuel Lesaffre & Andrew B Lawson (Hardcover)

Optimization and Learning Via Stochastic Gradient Search - (Princeton Applied Mathematics) by Felisa Vázquez-Abad & Bernd Heidergott (Hardcover)

Regression Modeling Strategies - (Springer Statistics) 2nd Edition by Frank E Harrell Jr (Paperback)

The Princeton Companion to Applied Mathematics - by Nicholas J Higham (Hardcover)