Mikis D. Stasinopoulos – författare

Visar alla böcker från författaren Mikis D. Stasinopoulos. Handla med fri frakt och snabb leverans.

10 produkter

1. 

   Distributions for Modeling Location, Scale, and Shape

   Using GAMLSS in R

   Av Robert A. Rigby, Mikis D. Stasinopoulos m. fl.

   Inbunden, 2019

   2513 kr

   Lägg i varukorg

   This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a …

2. 

   Flexible Regression and Smoothing

   Using GAMLSS in R

   Av Mikis D. Stasinopoulos, Robert A. Rigby m. fl.

   Häftad, 2020

   823 kr

   Lägg i varukorg

   This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.In particular, the …

3. 

   Distributions for Modeling Location, Scale, and Shape

   Using GAMLSS in R

   Av Fernanda De Bastiani, Gillian Z. Heller m. fl.

   E-bok, 2019

   1195 kr

   Lägg i varukorg

   This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a …

4. 

   Distributions for Modeling Location, Scale, and Shape

   Using GAMLSS in R

   Av Fernanda De Bastiani, Gillian Z. Heller m. fl.

   E-bok, 2019

   1169 kr

   Lägg i varukorg

   This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a …

5. 

   Generalized Additive Models for Location, Scale and Shape

   A Distributional Regression Approach, with Applications

   Av Gillian Z. Heller, Andreas Mayr m. fl.

   E-bok, 2024

   946 kr

   Lägg i varukorg

6. 

   Generalized Additive Models for Location, Scale and Shape

   A Distributional Regression Approach, with Applications

   Av Mikis D. Stasinopoulos, Thomas Kneib m. fl.

   Inbunden, 2024

   960 kr

   Lägg i varukorg

   An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) - one of the most important classes of distributional …

7. 

   Distributions for Modeling Location, Scale, and Shape

   Using GAMLSS in R

   Av Robert A. Rigby, Mikis D. Stasinopoulos m. fl.

   Häftad, 2021

   1011 kr

   Lägg i varukorg

   This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a …

8. 

   Flexible Regression and Smoothing

   Using GAMLSS in R

   Av Mikis D. Stasinopoulos, Robert A. Rigby m. fl.

   Inbunden, 2017

   1826 kr

   Lägg i varukorg

   This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.In particular, the …

9. 

   Flexible Regression and Smoothing

   Using GAMLSS in R

   Av Fernanda De Bastiani, Vlasios Voudouris m. fl.

   E-bok, 2017

   970 kr

   Lägg i varukorg

   This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. In particular, the …

10. 

    Flexible Regression and Smoothing

    Using GAMLSS in R

    Av Fernanda De Bastiani, Vlasios Voudouris m. fl.

    E-bok, 2017

    970 kr

    Lägg i varukorg

    This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. In particular, the …