robust statistics huber

Think STATS - 3rd Edition by Allen B Downey (Paperback)

The Master Algorithm - by Pedro Domingos (Paperback)

Statistik - (De Gruyter Studium) by Bernd Paul Jäger & Paul Eberhard Rudolph (Paperback)

The Little SAS Book - 6th Edition by Lora D Delwiche & Susan J Slaughter

Stochastic Modeling - (Dover Books on Mathematics) by Barry L Nelson (Paperback)

XML and Web Technologies for Data Sciences with R - (Use R!) by Deborah Nolan & Duncan Temple Lang (Paperback)

Molecular Storms - by Liam Graham (Paperback)

Gaussian Random Processes - (Stochastic Modelling and Applied Probability) by I a Ibragimov & Y a Rozanov (Hardcover)

Scouting and Scoring - by Christopher J Phillips

To Think Like a Statistician - by Bradley Efron (Hardcover)

May Contain Lies - by Alex Edmans

Generative AI with SAP and Amazon Bedrock - by Miguel Figueiredo (Paperback)

Introduction to Probability Models - 13th Edition by Sheldon M Ross (Paperback)

Causal Inference - (MIT Press Essential Knowledge) by Paul R Rosenbaum (Paperback)

Probability Theory I - (Graduate Texts in Mathematics) 4th Edition by M Loeve (Hardcover)

Knock on Wood - by Jeffrey S Rosenthal (Paperback)

Stochastic Finance - (De Gruyter Textbook) 5th Edition by Hans Föllmer & Alexander Schied (Paperback)

Handbook of Multilevel Analysis - by Jan Deleeuw & Erik Meijer (Hardcover)

Error and the Growth of Experimental Knowledge - (Science and Its Conceptual Foundations) 2nd Edition by Deborah G Mayo (Paperback)

Discrete Optimization Algorithms - (Dover Books on Mathematics) by Maciej M Syslo & Narsingh Deo & Janusz S Kowalik (Paperback)

Neural Networks with Tensorflow and Keras - by Philip Hua (Paperback)

Advanced Forecasting with Python - 2nd Edition by Joos Korstanje (Paperback)

Margins of Error - (Wiley Survey Methodology) by Duane F Alwin (Hardcover)

Ten Great Ideas about Chance - by Persi Diaconis & Brian Skyrms