variety environment data using random effects ammi models with adjustments for spatial field trend part 1 theory
Báo cáo sinh học: "Reducing the bias of estimates of genotype by environment interactions in random regression sire models" ppsx
... corresponding models with homogeneous residual variance The environmental classes for the simulated data were defined with environments < -1. 5 in class 1, environments ≥ -1. 5 and
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Báo cáo sinh học: " Virus detection and identification using random multiplex (RT)-PCR with 3''''-locked random primers" docx
... 0.9600440 817 25 20 Stock Virus (AV17) 17 .3 15 10 10 0 10 1 10 2 10 3 10 4 10 5 10 6 10 7 10 8 10 9 copies/ml B 10 9 10 8 10 7 10 6 10 5 10 4 10 3 10 2 10 1 Figure Template PCR Quantitation of Adenovirus Type 17 DNA ... http://www.virologyj.com/content/4 /1/ 65 pS GF H A 2O Virology Journal 2007, 4:65 MW 0.5 MW Kb 2. 01. 00.60.40.2V8AA Primers N10 Primers GF P pS up Pe er t3 0b 10 ng 1n g 10 0p 10 g pg 1p g 10 0fg 10 fg H B 2O pBabe ... * A B TOPO 2 .1 MultipleCloning Site Sequence of Randomly Amplified DNA >gi|4 416 335|gb|AF10 810 5 .1| AF10 810 5 Length = 3 510 0 Human adenovirus type 17 complete genome C S c o r e = 866 bits (437),...
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Báo cáo hóa học: " Virus detection and identification using random multiplex (RT)-PCR with 3''''-locked random primers" ppt
... 0.9600440 817 25 20 Stock Virus (AV17) 17 .3 15 10 10 0 10 1 10 2 10 3 10 4 10 5 10 6 10 7 10 8 10 9 copies/ml B 10 9 10 8 10 7 10 6 10 5 10 4 10 3 10 2 10 1 Figure Template PCR Quantitation of Adenovirus Type 17 DNA ... http://www.virologyj.com/content/4 /1/ 65 pS GF H A 2O Virology Journal 2007, 4:65 MW 0.5 MW Kb 2. 01. 00.60.40.2V8AA Primers N10 Primers GF P pS up Pe er t3 0b 10 ng 1n g 10 0p 10 g pg 1p g 10 0fg 10 fg H B 2O pBabe ... * A B TOPO 2 .1 MultipleCloning Site Sequence of Randomly Amplified DNA >gi|4 416 335|gb|AF10 810 5 .1| AF10 810 5 Length = 3 510 0 Human adenovirus type 17 complete genome C S c o r e = 866 bits (437),...
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báo cáo hóa học:" Research Article Data Cache-Energy and Throughput Models: Design Exploration for Embedded Processors" doc
... 64 12 8 819 2 2.422 0. 817 5 0.96 0.5988 14 12 8 64 819 2 2.633 1. 206 0. 619 0.407 15 256 32 819 2 4.085 2.529 0.474 0 .15 1 16 512 16 819 2 8.48 7.0 917 6 0.468 0 .11 25 17 64 256 16 384 2.85 0.88 1. 7 0.988 18 ... 0.7782 0 .16 0524 0.0 918 12 8 10 24 2.47 1. 182 0 .12 6 0.0695 256 10 24 3.639 2.394 0 .13 5 0.063 512 10 24 8 .18 5 6.955 0 .17 1 0.068 64 32 2048 2.368 0. 818 0.265 0 .14 2 12 8 16 2048 2.58 1. 206 0 .18 6 0.095 ... 18 12 8 12 8 16 384 2.8559 1. 2 51 1.0049 0.602 19 256 64 16 384 3.888 2.4557 0.834 0. 413 20 512 32 16 384 8.533 7.092 0.77 0.254 21 64 512 32768 3.783 0.985 3 .17 7 1. 76 61 22 12 8 256 32768 3.3 1. 33 1. 776...
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Báo cáo khoa hoc:" Mixed effects linear models with t-distributions for quantitative" docx
... (0. 71) , 0. 51 (0.69) and 0 .14 (0 .17 ) for the Gaussian, herd-clustered t, and the univariate t -models, respectively Hence, the individual t-model performed better than = competing models in this data ... scarcity of literature on random effects models West [ 41] described a one-way random effects layout with t-distributed errors and a heavy tailed prior for the random effects Assuming that the ratio between ... well for nuisance parameters [3, 8, 13 ] A Bayesian approach for drawing inferences about fixed and random effects, and about variance components of mixed linear models with t-distributed random...
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Mathematical models with delays for glucose insulin regulation and applications in artificial pancreas
... injection……………………………………………………………… 10 6 XI 10 1 Figure 5 .10 Simulation result using two-compartment model with impulse glucose injection……………………………………………………………… 10 6 Figure 5 .11 Simulation result using minimal model with glucose ... c −[ F 01 dQ1 (t ) / dt = (t ) + x1 (t )Q1 (t )] + k12Q2 (t ) − FR (t ) + U G (t ) + EGP0 [1 − x3 (t )], dQ2 (t )= x1 (t )Q1 (t ) − [k12 + x2 (t )]Q2 (t ), / dt = G (t ) Q1 (t ) / VG , dS1 (t ) ... listed in Table 2 .1 18 f1 ( z= 209 / [1 + exp(− z / 300V3 + 6.6)], ) f (h3 ) = 72 [1 − exp(− z /14 4V3 )], f3 ( z ) = 0.01z / V3 , (2.3) f ( y ) =+ 90 [1 + exp( 1. 772 log( y (1 V2 + Et2 )) + 7.76)],...
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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
... 18 1 worst cows 2 71 115 224 14 3 10 9 Mode HPD (95%) 7.9 8 .1 8.5 8.8 9.0 3.7, 12 .4 4.6, 12 .9 4.8, 13 .4 4.5, 12 .9 5.2, 14 .1 1 51. 3 16 5.9 17 1.5 17 7.5 222.9 13 0.2, 17 6.6 14 1 .1, 18 3.2 15 3.9, 19 5.6 15 5.2, ... 15 5.2, 19 2.3 19 6.5, 2 51. 8 Table III Posterior mode and HPD (95%) for the probability of no mastitis at 30, 15 0 and 300 days of lactation Cow best cows 324 283 13 1 12 6 worst cows 224 2 71 14 11 1 14 3 ... 0. 01 Longitudinal binary 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 12 6 314 278 18 1...
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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
... 2069 .11 9 The first log likelihood evaluated for this run is then -0.5 x (11 ,946.0 71/ 42.665 + 933.370 - 13 81. 239 + 2069 .11 9 = -950.625 For model 1, data were also analyzed using an EM-algorithm with ... Sci 71 Suppl 2, 33-34 (Abstr.) NAG reference manual Mark 11 Numerical Algorithms Group Nelder J.A & Mead R (19 65) A simplex method for function minimization Comput J 7, 14 7 -15 1 O’Neill R (19 71) ... 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
... c Xi 1 Xi Xi +1 Xi 1 Xi Xi +1 Yi +1 s c c Xi 1 c Yi s c ? s Yi 1 s Xi Xi +1 Figure Graphical structures of simple HMMs (left), MEMMs (center), and the chain-structured case of CRFs (right) for sequences ... natural 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 ... 54. 61% 48.05% MEMM+ CRF+ 4. 81% 4.27% 26.99% 23.76% + Using spelling features Figure Per-word error rates for POS tagging on the Penn treebank, using first-order models trained on 50% of the 1. 1...
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Báo cáo khoa hoc:" Estimating covariance functions for longitudinal data using a random regression model" potx
... Newton-Raphson and EM algorithms for linear mixed -effects models for repeated-measures data, J Am Stat Assoc 83 (19 88) 10 1 410 22 [19 ] Longford N.T., Random Coefficient Models, Oxford Statistical Science ... 80, 19 97) 762-770 [11 ] Jamrozik J., Schaeffer L.R., Dekkers J.C.M., Genetic evaluation of dairy cattle using test day yields and random regression model, J Dairy Sci 80 (19 97) 12 17 -12 26 [12 ] ... Stat Assoc 82 (19 87) 605- 610 [30] Shah A., Laird N., Schoenfeld D., A random- effects model for multiple characteristics with possibly missing data, J Am Stat Assoc 92 (19 97) 775-779 ( 31! Stram D.A.,...
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Báo cáo sinh học: "Modelling the growth curve of Maine-Anjou beef cattle using heteroskedastic random coefficients models" docx
... 0.0 015 10 .38 0.0 017 0.0004 8.72 0.0032 10 . 81 0.0 011 4.38 0.0388 14 .12 0.0002 25.86 0.00 01 12.30 0.0005 13 .20 0.0004 14 .76 Age 10 .84 0.0 010 12 .53 10 .19 0.0 015 12 .72 0.0004 5. 01 0.0272 b 0.00 01 Twins: ... 4.28 0. 014 2 Period of birth b 5.34 0.00 01 3.40 0.00 01 1.47 0 .14 10 4.90 0.00 01 7.35 14 .74 0.00 01 0.00 01 8.34 0.00 01 6. 31 0.00 01 17.94 0.00 01 57.86 0.00 01 60 .17 0.00 01 104.82 0.00 01 22.55 0.00 01 26.25 ... 22.55 0.00 01 26.25 0.00 01 62. 41 0.00 01 48.37 0.00 01 Age b 9.47 0.00 01 24. 71 0.00 01 6. 71 0.00 01 10.09 0.00 01 * period of birth 10 .16 0.00 01 10.87 0.00 01 10.96 0.00 01 14.89 0.00 01 Age * twins b b Age...
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Báo cáo sinh học: " Bayesian estimation in animal breeding using the Dirichlet process prior for correlated random effects" docx
... 24 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 ... Figure 15 3 Dirichlet process prior 0 .12 0 .1 0.08 0.06 0.04 0.02 60 65 70 75 k 80 85 90 Figure Observed histogram for k, number of groups k = 70 -3 31) 16 14 12 10 60 80 10 0 12 0 14 0 M 16 0 18 0 200 ... 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
... 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 ... 4-30 File: RemotingForm.cs // Namespaces, variables, and constants using System; using System.Windows.Forms; using System.Runtime.Remoting; using System.Runtime.Remoting.Channels; using System.Runtime.Remoting.Channels.Tcp; ... ds.Tables[ORDERS_TABLE].Columns[ORDERID _FIELD] , ds.Tables[ORDERDETAILS_TABLE] Columns[ORDERID _FIELD] , true); return ds; } public bool UpdateOrders(DataSet ds) { // Create the DataAdapters for order and order details // tables SqlDataAdapter...
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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 ... ! Microsoft PowerPoint® file 19 05a_08.ppt ! Module 8, “Validating XML Data Using Schemas” ! Lab 8, “Validating XML Data Using Schemas” Preparation Tasks To prepare for this module, you should: ... xmlns:dt="urn:schemas-microsoft-com:datatypes" 17 18 Module 8: Validating XML Data Using Schemas The following example is a minimal XML schema document:
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Tài liệu Display Data Using the Repeater Control pptx
... 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 5 .15 wfrmHowTo5_5a.aspx.vb: ... 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 ... NavigateURL='' ID="HyperLink1"/> As the name implies, the DataBinder supplies data from the data source that is specified for the Repeater object You will...
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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) ... 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() ... myDataRow myDataRow.CustomerID = "J5COM"; myDataRow.CompanyName = "J5 Company"; myDataRow.Address = "1 Main Street"; // add the new row to myDataTable using the // AddCustomersRow() method myDataTable.AddCustomersRow(myDataRow);...
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Tài liệu Updating Server Data Using a Web Service pptx
... Namespaces, variables, and constants using System; using System.ComponentModel; using System.Web.Services; using System.Configuration; using System .Data; using System .Data. SqlClient; public const String ... ORDERID _FIELD = "OrderID"; public const String ORDERS_ORDERDETAILS_RELATION = "Order_OrderDetails_Relation"; // [WebMethod] public DataSet LoadOrders( ) { DataSet ds = new DataSet( ); SqlDataAdapter ... Order table and add it to the DataSet da = new SqlDataAdapter("SELECT * FROM Orders", ConfigurationSettings.AppSettings["DataConnectString"]); DataTable orderTable = new DataTable(ORDERS_TABLE); da.FillSchema(orderTable,...
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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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