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Description: Growth and reproduction, two crucial economic traits
in production, are co-ordinated during normal puberty and
the adult stages. There is evidence that normal growthhormone
secretion is required for the correct timing of the
onset of puberty-PCR-RFLP it can help you understands what is RFLP,when you do PCR experiment,you can descover it is so hapefull
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Author: wuyuling |
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Description: karachi electric supply corporation papers
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Author: mohsin |
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Description: 主成分分析(PCA)和主成分回归的(PCR)类，基于ZedGrapg和矩阵类库LinearAlgebra，用于模式识别分类和回归建模型，PCA类中增加基于Zedgraph类图显示，自动多类标识-Priciple Component Analysis and Priciple Component regression algorithm
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Size: 118784 |
Author: pscong |
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Description: TS传输中PCR的分析，通过PCR计算码率。有一定参考价值-TS transmission PCR analysis, the calculation rate by PCR. Some reference value
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Size: 876544 |
Author: Danny |
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Description: 这个例子展示了如何应用偏最小二乘回归(plsr)和主成分回归(PCR),并讨论了两种方法的有效性。
本人亲测有效-This example shows how to apply Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR), and discusses the effectiveness of the two methods. PLSR and PCR are both methods to model a response variable when there are a large number of predictor variables, and those predictors are highly correlated or even collinear. Both methods construct new predictor variables, known as components,
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Author: zhang |
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Description: 统计算法 里面很多经典的多元统计算法程序 PLS，PCR GA PCR-UVE PLS-UVE UVE-CV PLS-GA MLR LWR 人工神经网络 SPA LSS等-Statistical algorithms, there are many classic multivariate statistical algorithm PLS, PCR GA PCR-UVE PLS-UVE UVE-CV PLS-GA MLR LWR artificial neural network SPA LSS
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Author: 木华 |
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Description: Generic sparc64 performance counter infrastructure.
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Size: 1024 |
Author: congdenpei |
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Description: 用C语言编制的PLS程序源代码：偏最小二乘法（PLS）是基于因子分析的多变量校正方法，其数学基础为主成分分析。但它相对于主成分回归（PCR）更进了一步，两者的区别在于PLS法将浓度矩阵Y和相应的量测响应矩阵X同时进行主成分分解：-PLS program source code compiled with the C: partial least squares (PLS) is a multivariate calibration method based on factor analysis, the mathematical basis of the main component analysis. But it goes a step further with respect to the principal component regression (PCR), the difference between the two is that the PLS method the concentration matrix Y and the corresponding measured response matrix X while the principal component decomposition:
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Size: 2048 |
Author: 姜东东 |
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Description: We propose and analyze several timestamping of an MPEG-2 Transport Stream transmitted strategies for performing over a packet-switched network using the PCR
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Size: 364544 |
Author: 时浩东 |
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Description: icom pcr1000宽频接收机串口通讯命令详解-icom pcr1000 broadband receiver serial communication command Detailed
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Size: 66560 |
Author: 胡亮 |
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Description: 本程序用于测定DNA序列中的GC含量，用于评估PCR时的退火温度-This procedure is used to determine the DNA sequence GC content, when used to evaluate the PCR annealing temperature
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Size: 1024 |
Author: kasolo |
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Description: Installing central locking module - prc 22-4
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Size: 250880 |
Author: siskin95 |
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Description: 主元分析与主元回归用于函数的回归拟合已测试-Principal component analysis and principal component regression regression fit for function
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Size: 1024 |
Author: 吕智愚 |
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Description: PCr measurement methods
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Size: 237568 |
Author: ed |
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Description: Generic sparc64 performance counter infrastructure.
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Size: 3072 |
Author: wkbfxe |
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Description: Add the boot aggregate to the IMA measurement list and extend the PCR register.
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Size: 2048 |
Author: mbcingbi |
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Description: Power mode data is an array of the 32 bits PCR values to use for the various frequencies, retrieved the device-tree.
-Power mode data is an array of the 32 bits PCR values to use for the various frequencies, retrieved the device-tree.
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Size: 5120 |
Author: zgvietn |
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Description: Enable UltraSparc performance counters, ARG0 is pointer to 64-bit accumulator for D0 counter in PIC, ARG1 is pointer to 64-bit accumulator for D1 counter. ARG2 is a pointer to the initial PCR register value to use.
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Size: 2048 |
Author: waovondao |
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Description: 主成分回归在matlab上的实现，有详细介绍，简单易懂。-Principal Component Regression in matlab implementation are detailed, easy to understand.
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Size: 1024 |
Author: cui |
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Description: 交叉验证(Cross-validation)主要用于建模应用中，例如PCR 、PLS 回归建模中。在给定的建模样本中，拿出大部分样本进行建模型，留小部分样本用刚建立的模型进行预报，并求这小部分样本的预报误差，记录它们的平方加和。这个过程一直进行，直到所有的样本都被预报了一次而且仅被预报一次。把每个样本的预报误差平方加和，称为PRESS(predicted Error Sum of Squares)-Cross-validation, sometimes called rotation estimation,[1][2][3] is a model validation technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice. In a prediction problem, a model is usually given a dataset of known data on which training is run (training dataset), and a dataset of unknown data (or first seen data) against which the model is tested (testing dataset).[4] The goal of cross validation is to define a dataset to test the model in the training phase (i.e., the validation dataset), in order to limit problems like overfitting, give an insight on how the model will generalize to an independent dataset (i.e., an unknown dataset, for instance a real problem), etc.
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Author: liufengfeng |
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