variety environment data using random effects ammi models with adjustments for spatial field trend part 2 applica
Báo cáo sinh học: "Reducing the bias of estimates of genotype by environment interactions in random regression sire models" ppsx
... 0.9370.044 0.9100.050 0.8580.048 0.8580.048 0.300 0. 324 0. 025 0. 325 0. 025 0 .29 80.017 0 .29 80.017 0.016 0. 023 0.004 0. 022 0.004 0.0180.0 02 0.0180.0 02 167 178 178 a Standard deviations are given as subscripts ... corresponding models with homogeneous residual variance The environmental classes for the simulated data were defined with environments
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Báo cáo sinh học: " Virus detection and identification using random multiplex (RT)-PCR with 3''''-locked random primers" docx
... 20 02, 16 (2) :119- 127 Seo TK, Thorne JL, Hasegawa M, Kishino H: Estimation of effective population size of HIV-1 within a host: a pseudomaximum-likelihood approach Genetics 20 02, 160(4): 128 3- 129 3 ... Amazonas, Brazil, 20 02 Jama 20 02, 28 7(19) :24 99 -25 00 Wilson WJ, Strout CL, DeSantis TZ, Stilwell JL, Carrano AV, Andersen GL: Sequence-specific identification of 18 pathogenic microorganisms using microarray ... PCR With 5'-VVVVVVVVAA-3' Primers Random2 Multiplex Plasmid DNA Random Multiplex PCR With 5'-VVVVVVVVAA-3' Primers Amplifies Circular Plasmid DNA A The indicated plasmids were amplified using random...
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Báo cáo hóa học: " Virus detection and identification using random multiplex (RT)-PCR with 3''''-locked random primers" ppt
... 20 02, 16 (2) :119- 127 Seo TK, Thorne JL, Hasegawa M, Kishino H: Estimation of effective population size of HIV-1 within a host: a pseudomaximum-likelihood approach Genetics 20 02, 160(4): 128 3- 129 3 ... Amazonas, Brazil, 20 02 Jama 20 02, 28 7(19) :24 99 -25 00 Wilson WJ, Strout CL, DeSantis TZ, Stilwell JL, Carrano AV, Andersen GL: Sequence-specific identification of 18 pathogenic microorganisms using microarray ... PCR With 5'-VVVVVVVVAA-3' Primers Random2 Multiplex Plasmid DNA Random Multiplex PCR With 5'-VVVVVVVVAA-3' Primers Amplifies Circular Plasmid DNA A The indicated plasmids were amplified using random...
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báo cáo hóa học:" Research Article Data Cache-Energy and Throughput Models: Design Exploration for Embedded Processors" doc
... 0.77 82 0.160 524 0.0918 128 1 024 2. 47 1.1 82 0. 126 0.0695 25 6 1 024 3.639 2. 394 0.135 0.063 5 12 1 024 8.185 6.955 0.171 0.068 64 32 2048 2. 368 0.818 0 .26 5 0.1 42 128 16 20 48 2. 58 1 .20 6 0.186 0.095 25 6 ... 7.016 0 .29 8 0.087 13 64 128 81 92 2. 422 0.8175 0.96 0.5988 14 128 64 81 92 2.633 1 .20 6 0.619 0.407 15 25 6 32 81 92 4.085 2. 529 0.474 0.151 16 5 12 16 81 92 8.48 7.09176 0.468 0.1 125 17 64 25 6 16384 2. 85 ... 0.988 18 128 128 16384 2. 8559 1 .25 1 1.0049 0.6 02 19 25 6 64 16384 3.888 2. 4557 0.834 0.413 20 5 12 32 16384 8.533 7.0 92 0.77 0 .25 4 21 64 5 12 327 68 3.783 0.985 3.177 1.7661 22 128 25 6 327 68 3.3 1.33...
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Báo cáo khoa hoc:" Mixed effects linear models with t-distributions for quantitative" docx
... ulA, or 2, s2 - N(O, A process ) 82 U / with s2 w N u Iv,, The augmented joint posterior density is using X2 m where s, = m , ) l (se , sP and N = ! ! n2 Integration of equation (14) with i=i ... the machinery of mixed effects linear models can be exploited An appealing alternative is to fit linear models with robust distributions for the errors and for the random effects One of such distributions ... mixed effects linear models with t-distributed random effects, with emphasis on quantitative genetic applications, was presented The objective was to obtain inferences that are more robust to departures...
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Mathematical models with delays for glucose insulin regulation and applications in artificial pancreas
... System with Subcutaneously-Injected Insulin 59 4.1 Introduction 59 4 .2 Models of Subcutaneous Insulin 62 4 .2. 1 Compartmental Models 63 4 .2. 2 Non-Compartmental Models ... 122 IV 6.1 Conclusion 122 6 .2 Future Work 125 6 .2. 1 Model Improvement 125 6 .2. 2 Abnormalities of Ultradian Oscillations 127 Bibliography ... Models 10 2. 1 Bergman Minimal Model 14 2. 2 Sturis Model 17 2. 3 Hovorka Model 19 2. 4 Summary 22 Model of Glucose – Insulin System with...
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Báo cáo sinh học: " Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle" pdf
... 3.7, 12. 4 4.6, 12. 9 4.8, 13.4 4.5, 12. 9 5 .2, 14.1 151.3 165.9 171.5 177.5 22 2.9 130 .2, 176.6 141.1, 183 .2 153.9, 195.6 155 .2, 1 92. 3 196.5, 25 1.8 Table III Posterior mode and HPD (95%) for the ... data 467 Table II Posterior mode and HPD (95%) for the expected number of days with mastitis for the five best and worst cows using Model Cow best cows 12 126 314 27 8 181 worst cows 27 1 115 22 4 ... mastitis cases Test with mastitis 10 Number of cows 27 0 32 11 3 1 1 % of total 82. 1 9.4 3.3 2. 1 0.9 0.0 0.9 0.3 0.3 0.3 0.3 2. 2 Methods 2. 2.1 Cross-sectional binary response Before describing the...
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Báo cáo sinh học: " Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm" pdf
... M AM c 42. 665, 15.999, -5.333 and 10.666, respectively for the corresponding (co)variances 1058.450, but the term required in calculating Log !R! is 28 2 x log 42. 665 log ,C is (28 2 -2- 2x306 -36) ... a total of 20 69.119 The first log likelihood evaluated for this run is then -0.5 x (11,946.071/ 42. 665 + 933.370 - 1381 .23 9 + 20 69.119 = -950. 625 For model 1, data were also analyzed using an EM-algorithm ... levels of random effects as in [14] Extensions to other models are straightforward, as long as G can be partitioned into blocks of such structure For example, fitting permanent environmental effects...
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conditional random fields- probabilistic models for segmenting and labeling sequence data
... data, by small-order Markov models Our 60 50 50 50 40 40 40 30 CRF Error MEMM Error 60 MEMM Error 60 30 30 20 20 20 10 10 10 0 10 20 30 CRF Error 40 50 60 0 10 20 30 HMM Error 40 50 60 0 10 20 ... Plots of 2 2 error rates for HMMs, CRFs, and MEMMs on randomly generated synthetic data sets, as described in Section 5 .2 As the data becomes “more second order,” the error rates of the test models ... emits its designated symbol with probability 29 / 32 and any of the other symbols with probability 1/ 32 We train both an MEMM and a CRF with the same topologies on the data generated by the HMM The...
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Báo cáo khoa hoc:" Estimating covariance functions for longitudinal data using a random regression model" potx
... following the data more closely A peak in genetic variance at years of age with a subsequent decline was consistent with estimates of 6 72, 127 7, 22 1, 722 and 1988 (kg for ages 2, ) 3, 4, and ... models for repeated-measures data, J Am Stat Assoc 83 (1988) 10141 022 [19] Longford N.T., Random Coefficient Models, Oxford Statistical Science Series, Clarendon Press, Oxford, 1993 [20 ] Madsen ... illustrated with an application to beef cattle data 2 ESTIMATION OF COVARIANCE FUNCTIONS 2. 1 Model of analysis 2. 1.1 Finite-dimensional model Consider an animal model with y2! the observation for animali...
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Báo cáo sinh học: "Modelling the growth curve of Maine-Anjou beef cattle using heteroskedastic random coefficients models" docx
... P-value 5.57 0. 020 9 1.86 0.1 726 1.54 0 .21 92 2.67 0.1 027 8.11 0.0057 4. 52 0.0337 5.78 0.0187 6.10 0.0138 Rank of calving b 3.90 0. 024 6 1.40 0 .24 69 1 .28 0 .28 46 1.17 0.3111 3.75 0. 028 2 4.06 0.0176 ... 10.38 0.0017 0.0004 8. 72 0.00 32 10.81 0.0011 4.38 0.0388 14. 12 0.00 02 25.86 0.0001 12. 30 0.0005 13 .20 0.0004 14.76 Age 10.84 0.0010 12. 53 10.19 0.0015 12. 72 0.0004 5.01 0. 027 2 b 0.0001 Twins: variable ... 0.60 52 0 .23 0.7941 0.40 0.6 722 0 .24 0.7874 * rank of calving 0 .25 0.7807 0.65 0. 520 9 1.01 0.3683 0.49 0.6158 Twins b 6. 52 0.0001 0.96 0.47 32 1.00 0.44 62 1.04 0.4045 8.96 0.0001 7.93 0.0001 21 .33...
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Báo cáo sinh học: " Bayesian estimation in animal breeding using the Dirichlet process prior for correlated random effects" docx
... 2. 09 7 .29 2. 08 0.01 1.73 2. 29 2. 06 0.94 7.16 18.80 2. 08 7 .29 2. 09 0. 02 1. 72 2 .29 2. 05 0.90 7.18 95% Credibility interval 17.30 ; 20 .21 1.78 ; 2. 39 6.61 ; 7.99 1.40 ; 2. 72 0.69 ; 0.68 1.08 ; 2. 44 ... 0.81 0.84 92 0.81 0.87 43 1.14 1.17 35 1.50 1.56 2. 25 ; 0. 12 1.35 0 .24 ; 2. 01 1 .28 1.88 1. 32 2.17 1.33 0.19 ; 2. 24 1.83 0.40 ; 2. 81 2. 10 0 .23 ; 0.33 ; 0 .22 1.33 3.09 ; 0.41 0 .25 89 0.03 ; 2. 66 59 ... 36 1 .22 1 .26 2. 66 ; 0. 12 2.06 3.70 ; 0.48 36 34 23 89 63 1.04 1.07 2. 32 ; 0.03 1.69 3.33 ; 0.01 34 0.99 1.01 2. 08 ; 0.08 1.51 2. 84 ; 0 .21 23 0.86 0.96 2. 40 ; 3.00 ; 0. 92 0.98 0.78 0. 82 24 0.81...
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Updating Server Data Using .NET Remoting
... remoteable class for activation is shown in Example 4 -27 Example 4 -27 File: NorthwindServerCS\MainForm.cs // Namespaces, variables, and constants using System; using System.Configuration; using System.Windows.Forms; ... started." + Environment. NewLine + " ApplicationName = " + RemotingConfiguration.ApplicationName + Environment. NewLine + " ApplicationId = " + RemotingConfiguration.ApplicationId + Environment. NewLine ... Field name constants private const String ORDERID _FIELD = "OrderID"; public DataSet LoadOrders( ) { DataSet ds = new DataSet( ); SqlDataAdapter da; // Fill the Order table and add it to the DataSet...
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Tài liệu Module 8: Validating XML Data Using Schemas doc
... in the DTD ! Data type for every element or attribute XML schemas allow you to specify a data type for an element or attribute Data types indicate the format of the data, provide for validation ... Module 8, “Validating XML Data Using Schemas” ! Lab 8, “Validating XML Data Using Schemas” Preparation Tasks To prepare for this module, you should: ! Read all of the materials for this module ! Complete ... rules and build an invalid XML document by mistake 12 Module 8: Validating XML Data Using Schemas Programming error Programming errors occur, and applications need to be robust enough to detect these...
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Tài liệu Display Data Using the Repeater Control pptx
... Programming Repeater Events by Using ItemCommand When you're using buttons, you can program the response for when the buttons are pressed by using the ItemCommand event This event is raised for ... the odaRegions DataAdapter fills the data table called dtRegions dtRegions is set as the data source for repRegions, and DataBind method is called, binding the Repeater to the data table Listing ... Text= ' ' />
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Tài liệu Modifying Data Using a Strongly Typed DataSet pptx
... modification to the database sqlDataAdapter1.Update(myDataTable); // display the DataRow objects in myDataTable // in the listView1 object foreach (MyDataSet.CustomersRow myDataRow2 in myDataTable.Rows) ... listView1.Items.Add(myDataRow2.CustomerID); listView1.Items.Add(myDataRow2.CompanyName); // if the Address is null, set Address to "Unknown" if (myDataRow2.IsAddressNull() == true) { myDataRow2.Address = ... myDataTable.AddCustomersRow(myDataRow); // push the new row to the database using // the Update() method of sqlDataAdapter1 sqlDataAdapter1.Update(myDataTable); // find the row using the FindByCustomerID()...
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Tài liệu Updating Server Data Using a Web Service pptx
... 4 -25 File: NorthwindServiceCS.asmx.cs // Namespaces, variables, and constants using System; using System.ComponentModel; using System.Web.Services; using System.Configuration; using System .Data; ... "Order_OrderDetails_Relation"; // [WebMethod] public DataSet LoadOrders( ) { DataSet ds = new DataSet( ); SqlDataAdapter da; // Fill the Order table and add it to the DataSet da = new SqlDataAdapter("SELECT * FROM Orders", ... intended for use by clients other than NET clients—J2EE, for example—the DataSet should be marshaled as XML instead of the DataSet class, which is specific to NET This can easily be done using the...
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Tài liệu Validate Data Using Validation Controls docx
... main page, click on the hyperlink with the caption How-To 5 .2: Validate Data Using Validation Controls When the Web Form loads, you will see a number of text boxes with instructions on how to see ... validation checks Here is the Web Form in Design view (see Figure 5 .2) Create a Web Form Then place the controls listed in Table 5.3 and shown in Figure 5 .2 with the following properties set ... following properties set Table 5.3 Control Property Settings for Validation Controls Web Form Object Property Setting Label Text Required Field Validator Example (Leave Blank to Test) TextBox ID...
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