Tous les ebooks de la collection "SpringerBriefs in Statistics" - Springer

113 Livre(s)


Ajouter à ma liste d'envies Finite Mixture of Skewed Distributions Celso Rômulo Barbosa Cabral , Víctor Hugo Lachos Dávila , Camila Borelli Zeller This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and... Editeur : Springer Parution : 2018-11-12 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics Shuhei Mano This book focuses on statistical inferences related to various combinatorial stochastic processes. Specifically, it discusses the intersection of three subjects that are generally studied independently of each other: partitions, hypergeometric systems, and Dirichlet... Editeur : Springer Parution : 2018-07-12 Collection : SpringerBriefs in Statistics PDF 63,29 €
Ajouter à ma liste d'envies Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data Collectif This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial... Editeur : Springer Parution : 2018-06-18 Collection : SpringerBriefs in Statistics PDF 52,74 €
Ajouter à ma liste d'envies Separating Information Maximum Likelihood Method for High-Frequency Financial Data Naoto Kunitomo , Daisuke Kurisu , Seisho Sato This book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new approach to financial econometrics.Considerable interest has been given to the estimation problem of integrated volatility and covariance by using... Editeur : Springer Parution : 2018-06-14 Collection : SpringerBriefs in Statistics PDF 58,01 €
Ajouter à ma liste d'envies Asymmetric Kernel Smoothing Masayuki Hirukawa This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The... Editeur : Springer Parution : 2018-06-08 Collection : SpringerBriefs in Statistics PDF 52,74 €
Ajouter à ma liste d'envies Applied Multidimensional Scaling and Unfolding Ingwer Borg , Patrick J.F. Groenen , Patrick Mair This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of... Editeur : Springer Parution : 2018-05-16 Collection : SpringerBriefs in Statistics PDF, ePub 73,84 € PDF ePub
Ajouter à ma liste d'envies Analysis of Survival Data with Dependent Censoring Yi-Hau Chen , Takeshi Emura This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent... Editeur : Springer Parution : 2018-04-05 Collection : SpringerBriefs in Statistics PDF 63,29 €
Ajouter à ma liste d'envies Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents Takashi Daimon , Akihiro Hirakawa , Shigeyuki Matsui , Hiroyuki Sato This book deals with advanced methods for adaptive phase I dose-finding clinical trials for combination of two agents and molecularly targeted agents (MTAs) in oncology. It provides not only methodological aspects of the dose-finding methods, but also software... Editeur : Springer Parution : 2018-01-30 Collection : SpringerBriefs in Statistics PDF 63,29 €
Ajouter à ma liste d'envies Decision Support Using Nonparametric Statistics Warren Beatty This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for... Editeur : Springer Parution : 2018-01-15 Collection : SpringerBriefs in Statistics PDF 63,29 €
Ajouter à ma liste d'envies Characterizing Interdependencies of Multiple Time Series Yuzo Hosoya , Ryo Kinoshita , Kosuke Oya , Taro Takimoto This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects,... Editeur : Springer Parution : 2017-10-26 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Analysing Inequalities in Germany Alexander Silbersdorff This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators.... Editeur : Springer Parution : 2017-09-23 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Algorithms and Programs of Dynamic Mixture Estimation Ivan Nagy , Evgenia Suzdaleva This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form,... Editeur : Springer Parution : 2017-08-14 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Machine Translation with Minimal Reliance on Parallel Resources Sokratis Sofianopoulos , George Tambouratzis , Marina Vassiliou This book provides a unified view on a new methodology for Machine Translation (MT).This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a... Editeur : Springer Parution : 2017-08-09 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Statistical Estimation for Truncated Exponential Families Masafumi Akahira This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions. In... Editeur : Springer Parution : 2017-07-26 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Assessing Model-Based Reasoning using Evidence- Centered Design Collectif This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Understanding, exploring, and interacting with the world through... Editeur : Springer Parution : 2017-07-25 Collection : SpringerBriefs in Statistics PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Model Choice in Nonnested Families Basilio De Bragança Pereira , Carlos Alberto De Bragança Pereira This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to... Editeur : Springer Parution : 2016-12-30 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Nonlinear Principal Component Analysis and Its Applications Masahiro Kuroda , Naomichi Makino , Yuichi Mori 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 the principle, after a brief introduction of ordinary PCA, a PCA for... Editeur : Springer Parution : 2016-12-09 Collection : SpringerBriefs in Statistics PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Convolution Copula Econometrics Umberto Cherubini , Fabio Gobbi , Sabrina Mulinacci 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 increments and provides a generalization with respect to the standard linear... Editeur : Springer Parution : 2016-12-01 Collection : SpringerBriefs in Statistics PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Working with the American Community Survey in R Ezra Haber Glenn This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a... Editeur : Springer Parution : 2016-10-06 Collection : SpringerBriefs in Statistics PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Group-Sequential Clinical Trials with Multiple Co-Objectives Koko Asakura , Scott R. Evans , Toshimitsu Hamasaki , Toshimitsu Ochiai This book focuses on group sequential methods for clinical trials with co-primary endpoints based on the decision-making frameworks for: (1) rejecting the null hypothesis (stopping for efficacy), (2) rejecting the alternative hypothesis (stopping for futility), and (3)... Editeur : Springer Parution : 2016-06-01 Collection : SpringerBriefs in Statistics ePub 68,56 €
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