Bokus

Oliver Schabenberger – författare

Visar alla böcker från författaren Oliver Schabenberger. Handla med fri frakt och snabb leverans.

7 produkter

  1. Oliver Schabenberger, Carol A. Gotway - Statistical Methods for Spatial Data Analysis, Häftad. Tillgänglighet: Lägg i varukorg

    Statistical Methods for Spatial Data Analysis

    Av Oliver Schabenberger, Carol A. Gotway

    Häftad, 2023

    762 kr

    Lägg i varukorg

    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools …

  2. Francis J. Pierce, Oliver Schabenberger - Contemporary Statistical Models for the Plant and Soil Sciences, E-bok. Tillgänglighet: Lägg i varukorg

    Contemporary Statistical Models for the Plant and Soil Sciences

    Av Francis J. Pierce, Oliver Schabenberger

    E-bok, 2001

    3354 kr

    Lägg i varukorg

    Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that …

  3. Carol A. Gotway, Oliver Schabenberger - Statistical Methods for Spatial Data Analysis, E-bok. Tillgänglighet: Lägg i varukorg

    Statistical Methods for Spatial Data Analysis

    Av Carol A. Gotway, Oliver Schabenberger

    E-bok, 2017

    797 kr

    Lägg i varukorg

    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools …

  4. Francis J. Pierce, Oliver Schabenberger - Contemporary Statistical Models for the Plant and Soil Sciences, E-bok. Tillgänglighet: Lägg i varukorg

    Contemporary Statistical Models for the Plant and Soil Sciences

    Av Francis J. Pierce, Oliver Schabenberger

    E-bok, 2001

    3428 kr

    Lägg i varukorg

    Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that …

  5. Carol A. Gotway, Oliver Schabenberger - Statistical Methods for Spatial Data Analysis, E-bok. Tillgänglighet: Lägg i varukorg

    Statistical Methods for Spatial Data Analysis

    Av Carol A. Gotway, Oliver Schabenberger

    E-bok, 2017

    797 kr

    Lägg i varukorg

    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools …

  6. Oliver Schabenberger, Francis J. Pierce - Contemporary Statistical Models for the Plant and Soil Sciences, Inbunden. Tillgänglighet: Lägg i varukorg

    Contemporary Statistical Models for the Plant and Soil Sciences

    Av Oliver Schabenberger, Francis J. Pierce

    Inbunden, 2001

    3055 kr

    Lägg i varukorg

    Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that …

  7. Oliver Schabenberger, Carol A. Gotway - Statistical Methods for Spatial Data Analysis, Inbunden. Tillgänglighet: Lägg i varukorg

    Statistical Methods for Spatial Data Analysis

    Av Oliver Schabenberger, Carol A. Gotway

    Inbunden, 2004

    2504 kr

    Lägg i varukorg

    Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools …