This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this……続きを見る
出版社: Springer International Publishing
発売日: 2017年01月03日
This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016.
The 40 full papers and……続きを見る
出版社: Springer International Publishing
発売日: 2017年01月05日
This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th I……続きを見る
著者:Jeff Grover
出版社: Springer International Publishing
発売日: 2016年12月30日
This book is an extension of the author’s first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN). It walks the learner through t……続きを見る
Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered e……続きを見る
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and te……続きを見る
出版社: Springer International Publishing
発売日: 2016年12月30日
This Festschrift resulted from a workshop on “Advanced Modelling in Mathematical Finance” held in honour of Ernst Eberlein’s 70th birthday, from 20 to 22 May 2015 in Kiel, Germany. It includes contr……続きを見る
More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design,……続きを見る
This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the incre……続きを見る
出版社: Springer International Publishing
発売日: 2016年12月30日
This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic applicati……続きを見る
This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced ……続きを見る
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs suc……続きを見る
This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants……続きを見る
The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy’s continuity theorem. This monograph focuses on this characteristic f……続きを見る
Poverty and inequality remain at the top of the global economic agenda, and the methodology of measuring poverty continues to be a key area of research. This new book, from a leading international g……続きを見る
In diesem anwendungsbezogenen Statistik-Kochbuch werden Ihnen Rezepte vorgestellt und Schritt für Schritt erläutert. Anhand dazu passender Beispiele bauen Sie schnell grundlegende Statistik-Kompeten……続きを見る
This, the 30th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six in-depth papers focusing on the subject of cloud computing. Topics covered within this context ……続きを見る
This book employs a computable general equilibrium (CGE) model – a widely used economic model which uses actual data to provide economic analysis and policy assessment – and applies it to economic d……続きを見る
出版社: Springer International Publishing
発売日: 2017年01月14日
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diag……続きを見る
This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.
In the part dealing with t……続きを見る
著者:David L. Olson
出版社: Springer Nature Singapore
発売日: 2017年01月08日
This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specifi……続きを見る
著者:Alexander Iksanov
出版社: Springer International Publishing
発売日: 2017年01月08日
This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration. Being of major importance in modern probability theory, both theoretical and applie……続きを見る
This book elaborates on the asymptotic behaviour, when N is large, of certain N-dimensional integrals which typically occur in random matrices, or in 1+1 dimensional quantum integrable models solvab……続きを見る
出版社: Springer International Publishing
発売日: 2017年01月15日
This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 201……続きを見る
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analy……続きを見る
出版社: Springer International Publishing
発売日: 2016年12月11日
A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine……続きを見る
著者:Rainer Oloff
出版社: Springer Berlin Heidelberg
発売日: 2017年02月13日
Dieses Lehrbuch ermöglicht einen barrierefreien Zugang zur Wahrscheinlichkeitsrechnung, indem es maßtheoretische Begriffe so lange wie möglich vermeidet. Dennoch umfasst es eine unabhängige Darstell……続きを見る
This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to……続きを見る
出版社: Springer International Publishing
発売日: 2017年01月13日
This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an intr……続きを見る
This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manne……続きを見る