Robust Rank-Based and Nonparametric Methods - Springer 168 - Image 1

£113.59

Springer Robust Rank-Based and Nonparametric Methods - Springer 168

Name: Robust Rank-Based and Nonparametric Methods - Springer 168
Brand: Springer
Price: 113.59 GBP
Availability: InStock

Medical & Healthcare Practitioners

This is the most expensive it has ever been. Walk away.

£114 today · previous high £114 · all-time low £106

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 90 days · 90 data points

Historical

Generating forecast…

Price Distribution

Price distribution over 90 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £108 (80 days, 88.9%)

Price range: £106 - £114

Price levels: 3 different prices over 90 days

Description

This comprehensive volume from Springer gathers contributions from leading researchers in robust rank-based and nonparametric methods, many of whom have collaborated with Joseph McKean to advance the theoretical foundations of these statistical approaches. The book covers the full spectrum of modern rank-based procedures, including Bayesian methods, big data applications, and nonparametric analyses developed over three decades of research. Featured papers address practical applications across biostatistics and spatial statistics, offering small sample corrections and efficient computational algorithms. Designed for practitioners and researchers seeking rigorous, distribution-free statistical methods, this collection reflects the maturity and breadth of contemporary nonparametric statistics and its relevance to real-world healthcare and scientific problems.

Key Features

Contributions from distinguished researchers who developed theory and algorithms for rank-based and nonparametric statistical methods.

Covers robust nonparametric rank-based procedures, Bayesian approaches, and big data rank-based analyses in one comprehensive resource.

Includes practical applications in biostatistics and spatial areas with small sample corrections for improved accuracy.

Reflects 30 years of development in robust rank-based and nonparametric methods with extended and revised papers from a Michigan 2015 conference.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319390635
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Release Date: 21 September 2016
Listed Since: 13 April 2016

Barcode

No barcode data available

Springer Robust Rank-Based and Nonparametric Methods - Springer 168

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)

Nonparametric Statistics with Applications to Science and Engineering with R (Wiley Series in Probability and Statistics)

Modern Applied U-Statistics (Wiley Series in Probability and Statistics)

An Introduction to Nonparametric Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Nonparametric Statistical Methods For Complete and Censored Data

Nonparametric Statistical Methods For Complete and Censored Data

Nonparametric Methods in Statistics with SAS Applications (Chapman & Hall/CRC Texts in Statistical Science)

Nonparametric Statistical Methods: Solution Manual

ADVANCES IN STATISTICAL MODELING AND INFERENCE: ESSAYS IN HONOR OF KJELL A DOKSUM: 3 (SERIES IN BIOSTATISTICS)

Introduction to Nonparametric Statistics for the Biological Sciences Using R

Statistical Methods for Biostatistics and Related Fields

Practical Data Analysis with JMP, Third Edition

Practical Data Analysis with JMP, Third Edition

Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

Robust Statistical Methods with R, Second Edition

Nonparametric Statistical Tests: A Computational Approach

A Practical Guide to Data Analysis Using R: An Example-Based Approach

Models for Probability and Statistical Inference: Theory and Applications (Wiley Series in Probability and Statistics)

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Understanding and Applying Basic Statistical Methods Using R

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Foundational and Applied Statistics for Biologists Using R

Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)