Program MULT


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                  Program MULT 12/18/87 by M. Conroy & J. Hines

    This program computes estimates of survival and recovery
 rates (or covariate coefficients) using band recovery
 data which is assumed to be distributed as a multinomial.
    This program may be obtained (for free) from:
                    James E. Hines
                    U.S. Fish & Wildlife Service
                    Patuxent Wildlife Research Center
                    Laurel, MD 20708
					

Note: A more modern Windows© program, Mark (http://www.cnr.colostate.edu/~gwhite/mark/mark.htm),
 (written by G. White) is recommended instead of MULT.


Click here to download program and user's manual



                               Model description menu

 Models in MULT are divided into 7 model sets.  A model is chosed
 by choosing a model set and a model number. The following is
 a list of available models in MULT:

 Model set   model number   parameters
 ESTIMATE         M1        f(i),S(i),alfa(i)
                  M2        f(i),S
                  M3        f,S
 COVAR            C1        f(i),A,B [S(i)=A+Bf(i)]
                  C2        f(i),A,B [S(i)=A+BX(i)]
 INTERVAL         IN1       f(i),PHI(i),alfa(i)
                  2         f(i),PHI
                  3         f,PHI
 BROWNIE          H1        f(i),f'(i),S(i),S'(i),alfa(i),alfa'(i)
                  H02       f(i),f'(i),S,S'
                  H01       f,f',S,S'

   where f(i),f'(i) = adlt,yng recv rate in year i
         S(i),S'(i) = adlt,yng surv rate in year i
         alfa(i),alfa'(i) = adlt,yng recv-surv products in year i
         PHI(i) = surv rate in interval i

 TWO-TIME         TT1       f(i),PHI(i),GMA(i)
                  TT2       f(i),PHI(i)
                  TT3       f(i),PHI,GMA(i)
                  TT4       f(i),PHI(i),GMA
                  TT5       f(i),PHI,GMA
                  TT6       f(i),PHI
                  TT7       f,PHI,GMA

   where PHI(i) = 1st period surv rate in year i
         GMA(i) = 2nd period surv rate in year i


 REW-IND          RI1       LAM(i),H(i),S(i),S'(i)
                  RI2       LAM(i),H(i),S(i)
                  RI3       LAM,H(i),S(i)
                  RI4       LAM(i),H(i),S
                  RI5       LAM,H(i),S
                  RI6       LAM,H,S
                  RI        LAM(i),H(i),GMA(i),S(i),S'(i)
                  RI8       LAM(i),H(i),GMA(i),S(i)
                  RI9       LAM,H(i),GMA(i),S(i)
                  RI10      LAM(i),H(i),GMA(i),S
                  RI11      LAM,H(i),GMA(i),S
                  RI12      LAM,H(i),GMA,S
                  RI13      LAM,H,GMA,S

   where LAM(i) = reporting rate in year i
         H(i)   = Harvest rate in year i


 REW-DIR          RD1       LAM(i,j),GMA(i,j),H(i,j)
                  RD2       LAM(i),GMA(i,j),H(i,j)
                  RD3       LAM(j),GMA(i,j),H(i,j)
                  RD4       LAM,GMA(i,j),H(i,j)
                  RD5       LAM(j),GMA(j),H(i,j)
                  RD6       LAM(j),GMA(j),H(j)
                  RD7       LAM(j),GMA(j),H(i)
                  RD8       LAM(j),GMA,H(i,j)
                  RD9       LAM,GMA(j),H(i,j)
                  RD10      LAM,GMA,H(i,j)
                  RD11      LAM,GMA,H
                  RD12      LAM(j),GMA(j),H
                  RD13      LAM(j),GMA,H
                  RD14      LAM,GMA(j),H
                  RD15      LAM(i),GMA(i),H(i)
                  RD16      LAM,GMA(i),H(i)
                  RD17      LAM(i),H(i)
                  RD19      LAM,H

Run MULT online

You can enter an ASCII text file in the box below. The file should look like the example below: 
Sample input: TITLE=MULT SAMPLE DATA

   4   2   5   0   0
       7   6  11   4
           8   5   8
              18   9
  346  981  706  847



Sample input: TITLE=CANADA GOOSE TRAPPING DATA, TENN. (FROM CROMER 1978)

  39  20   6   3   7   2   2   1   0   0   0   0   0
      53  18  17   9   8   5   4   0   0   1   0   0
          34  27  23  11   5   3   0   2   1   0   0
              57  33  21  14   5   2   1   2   0   1
                  82  35  22   8   2   4   3   1   1
                      71  30  13   1   8   6   2   0
                          67  32  12  12   4   4   3
                              46  23  21  13   5   4
                                  43  27  15  10   7
                                      67  56  26  13
                                         180  91  56
                                             167  89
                                                 114
00926 1413 1147 1233 1674 1727 1864 1438 1235 2351 5215 5256 3615
000.9787
2.2445
1.2638
1.0898
1.3363
1.3067
2.2601
0.6647
0.8903
1.3183
002.1163
0.8707
9.9999


Sample input: TITLE=FEMALE CANADA GEESE (BIOMETRICS 1981:526)

   13   6  12   6   3   4   0   0   0
      20  40  22  10  17   0   0   0
          19   3   3   6   0   0   0
              52  12  27   1   2   1
                  29  47   2   1   1
                      59   1   1   0
                          18  17   2
  600 1481  327 1172 1057 1227  792
1.000
3.000
1.000
4.000
1.000
9.000

Title:

Select model: ESTIMATE COVAR INTERVAL BROWNIE TWO-TIME REW-IND REW-DIR

Select sub-model:

M1 M2 M3

Input recovery matrix:

Input banding vector:

Input time interval lengths:

Input covariates vector:

Options: