Amanote Research

Amanote Research

    RegisterSign In

Predicting Infectivity of Arbuscular Mycorrhizal Fungi From Soil Variables Using Generalized Additive Models and Generalized Linear Models

Biodiversitas - Indonesia
doi 10.13057/biodiv/d110308
Full Text
Open PDF
Abstract

Available in full text

Categories
Animal ScienceZoologyPlant ScienceMolecular Biology
Date

July 1, 2010

Authors
IRNANDA AIKO FIFI DJUUNA
Publisher

UNS Solo


Related search

Generalized Additive Models

2017English

Generalized Linear Models

Chapman & Hall/CRC Biostatistics Series
2011English

Generalized Linear Models

2019English

Generalized Linear Models

2008English

Generalized Linear Models

2001English

Multivariate Generalized Linear Models Using R

Journal of Applied Statistics
UncertaintyStatisticsProbability
2012English

Generalized Linear Mixed Models

2018English

Generalized Linear Mixed Models

Wiley Series in Probability and Statistics
2005English

Geoacoustic Inversion With Generalized Additive Models

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy