Recursive Estimation of Breeding Values with Categorical Data
نویسندگان
چکیده
منابع مشابه
Recursive parameter estimation for categorical process control
Statistical process adjustment (SPA) is utilised prevalently in novel manufacturing scenarios. When quality characteristics rather than internal process variables are inspected for the purpose of quality control, data with different resolutions may be collected. This paper proposes a Bayesian framework for parameter estimation when only categorical observations are available. The proposed metho...
متن کامل2. Principles of Estimation of Breeding Values
The most obvious piece of phenotypic information we can use to estimate an animal’s breeding value is the animal’s own phenotype. But we can also use information from relatives, such as the sire, the dam, siblings and progeny. Commercial genetic evaluation systems produce EBVs for each animal for all traits of relevance. Such an evaluation is based on a statistical procedure leading to Best Lin...
متن کاملClustering Large Data Sets with Mixed Numeric and Categorical Values
Efficient partitioning of large data sets into homogenous clusters is a fundamental problem in data mining. The standard hierarchical clustering methods provide no solution for this problem due to their computational inefficiency. The k-means based methods are promising for their efficiency in processing large data sets. However, their use is often limited to numeric data. In this paper we pres...
متن کاملExtending Learning Vector Quantization for Classifying Data with Categorical Values
Learning vector quantization (LVQ) is a supervised neural network method applicable in non-linear separation problems and widely used for data classification. Existing LVQ algorithms are mostly focused on numerical data. This paper presents a batch type LVQ algorithm used for classifying data with categorical values. The batch learning rules make possible to construct the learning methodology f...
متن کاملDomestic estimated breeding values and genomic enhanced breeding values of bulls in comparison with their foreign genomic enhanced breeding values.
Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP) and by a one-step blending procedure. Info...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Dairy Science
سال: 1988
ISSN: 0022-0302
DOI: 10.3168/jds.s0022-0302(88)79575-2